Upload numbers_for_paper evaluation artifacts
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- .gitattributes +25 -0
- numbers_for_paper/README.md +9 -0
- numbers_for_paper/data_audit/schema.json +124 -0
- numbers_for_paper/data_audit/test_audit.json +95 -0
- numbers_for_paper/data_audit/test_label_distribution.csv +22 -0
- numbers_for_paper/data_audit/validation_audit.json +95 -0
- numbers_for_paper/data_audit/validation_label_distribution.csv +22 -0
- numbers_for_paper/metrics/best/test/category_metrics.csv +5 -0
- numbers_for_paper/metrics/best/test/category_metrics.json +142 -0
- numbers_for_paper/metrics/best/test/class_wise_most_common_confusions.csv +74 -0
- numbers_for_paper/metrics/best/test/classification_report.csv +25 -0
- numbers_for_paper/metrics/best/test/classification_report.json +141 -0
- numbers_for_paper/metrics/best/test/confusion_matrix.csv +22 -0
- numbers_for_paper/metrics/best/test/confusion_matrix.png +3 -0
- numbers_for_paper/metrics/best/test/confusion_matrix_normalized_pred.csv +22 -0
- numbers_for_paper/metrics/best/test/confusion_matrix_normalized_pred.png +3 -0
- numbers_for_paper/metrics/best/test/confusion_matrix_normalized_true.csv +22 -0
- numbers_for_paper/metrics/best/test/confusion_matrix_normalized_true.png +3 -0
- numbers_for_paper/metrics/best/test/high_confidence_errors.jsonl +0 -0
- numbers_for_paper/metrics/best/test/incorrect_predictions.jsonl +0 -0
- numbers_for_paper/metrics/best/test/low_confidence_correct.jsonl +3 -0
- numbers_for_paper/metrics/best/test/metrics.csv +2 -0
- numbers_for_paper/metrics/best/test/metrics.json +57 -0
- numbers_for_paper/metrics/best/test/per_class_metrics.csv +22 -0
- numbers_for_paper/metrics/best/test/top_confusions.csv +31 -0
- numbers_for_paper/metrics/best/validation/category_metrics.csv +5 -0
- numbers_for_paper/metrics/best/validation/category_metrics.json +142 -0
- numbers_for_paper/metrics/best/validation/class_wise_most_common_confusions.csv +70 -0
- numbers_for_paper/metrics/best/validation/classification_report.csv +25 -0
- numbers_for_paper/metrics/best/validation/classification_report.json +141 -0
- numbers_for_paper/metrics/best/validation/confusion_matrix.csv +22 -0
- numbers_for_paper/metrics/best/validation/confusion_matrix.png +3 -0
- numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_pred.csv +22 -0
- numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_pred.png +3 -0
- numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_true.csv +22 -0
- numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_true.png +3 -0
- numbers_for_paper/metrics/best/validation/high_confidence_errors.jsonl +0 -0
- numbers_for_paper/metrics/best/validation/incorrect_predictions.jsonl +0 -0
- numbers_for_paper/metrics/best/validation/low_confidence_correct.jsonl +3 -0
- numbers_for_paper/metrics/best/validation/metrics.csv +2 -0
- numbers_for_paper/metrics/best/validation/metrics.json +57 -0
- numbers_for_paper/metrics/best/validation/per_class_metrics.csv +22 -0
- numbers_for_paper/metrics/best/validation/top_confusions.csv +31 -0
- numbers_for_paper/metrics/latest/test/category_metrics.csv +5 -0
- numbers_for_paper/metrics/latest/test/category_metrics.json +142 -0
- numbers_for_paper/metrics/latest/test/class_wise_most_common_confusions.csv +74 -0
- numbers_for_paper/metrics/latest/test/classification_report.csv +25 -0
- numbers_for_paper/metrics/latest/test/classification_report.json +141 -0
- numbers_for_paper/metrics/latest/test/confusion_matrix.csv +22 -0
- numbers_for_paper/metrics/latest/test/confusion_matrix.png +3 -0
.gitattributes
CHANGED
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@@ -35,3 +35,28 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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predictions/test_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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predictions/validation_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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predictions/test_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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predictions/validation_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/test/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/test/confusion_matrix_normalized_pred.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/test/confusion_matrix_normalized_true.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/test/low_confidence_correct.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/validation/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_pred.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_true.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/best/validation/low_confidence_correct.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/test/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/test/confusion_matrix_normalized_pred.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/test/confusion_matrix_normalized_true.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/test/low_confidence_correct.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/validation/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/validation/confusion_matrix_normalized_pred.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/validation/confusion_matrix_normalized_true.png filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/metrics/latest/validation/low_confidence_correct.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/predictions/best/test_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/predictions/best/validation_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/predictions/latest/test_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/predictions/latest/validation_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/source_snapshots/dataset/artifacts/split_assignments.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/source_snapshots/dataset/type_predictor_data.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/source_snapshots/dataset/type_predictor_train.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/source_snapshots/model/predictions/test_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/source_snapshots/model/predictions/validation_predictions.jsonl filter=lfs diff=lfs merge=lfs -text
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numbers_for_paper/README.md
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# TypePredictor numbers_for_paper
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Deterministic inference evaluation artifacts for:
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- Model: `U4RASD/TypePredictor` at `56b9a60244634f073635191fe0ae1bee8a5f8c62`
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- Dataset: `U4RASD/TypePrediction` at `2cc13badf71d134057168b7e96cf78d1fdfdc4cc`
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- Paper checkpoint: released selected/best root checkpoint, step 25,000.
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The release intentionally excludes credentials, HF caches, Python caches, and redundant model-weight files.
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numbers_for_paper/data_audit/schema.json
ADDED
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{
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"fields": {
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"end_char": {
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"python_types_observed_sample": [
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"int"
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],
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"example": 81
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},
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"end_token": {
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"python_types_observed_sample": [
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"int"
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],
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"example": 14
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},
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"entity": {
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"python_types_observed_sample": [
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"str"
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],
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"example": "محافظة الناصرة"
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},
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"evaluation_category": {
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"python_types_observed_sample": [
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"str"
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],
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"example": "seen_sentence_new_entity"
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},
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"id": {
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"python_types_observed_sample": [
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"str"
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],
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"example": "tp_078298"
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},
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"raw_types": {
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"python_types_observed_sample": [
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"list"
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],
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"example": [
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"GPE",
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"STATE-OR-PROVINCE"
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]
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},
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"sentence": {
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"python_types_observed_sample": [
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"str"
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],
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"example": "سند خاقاني : وثائق طابو من الفترة العثمانية عن اراضي قرية صفورية ، محافظة الناصرة ."
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},
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"sources": {
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"python_types_observed_sample": [
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"list"
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],
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"example": [
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{
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"dataset": "Wojood1_1_flat",
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"split": "train"
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},
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{
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"dataset": "Wojood1_1_nested",
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"split": "train"
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},
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{
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"dataset": "WojoodFine",
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"split": "train"
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},
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{
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"dataset": "WojoodFine-Flat",
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"split": "split70"
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}
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]
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},
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"start_char": {
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"python_types_observed_sample": [
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"int"
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],
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"example": 67
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},
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"start_token": {
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"python_types_observed_sample": [
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"int"
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],
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"example": 13
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},
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"type": {
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"python_types_observed_sample": [
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"str"
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],
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"example": "GPE"
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}
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},
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"splits": {
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"validation": {
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"rows": 12600,
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"fields": [
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"end_char",
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"end_token",
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"entity",
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"evaluation_category",
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"id",
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"raw_types",
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"sentence",
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"sources",
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"start_char",
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"start_token",
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"type"
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]
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},
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"test": {
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"rows": 12600,
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"fields": [
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"end_char",
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"end_token",
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"entity",
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"evaluation_category",
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"id",
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"raw_types",
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"sentence",
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"sources",
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"start_char",
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"start_token",
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"type"
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]
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}
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}
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}
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numbers_for_paper/data_audit/test_audit.json
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{
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"split": "test",
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"row_count": 12600,
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"expected_row_count": 12600,
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"row_count_ok": true,
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"unique_ids": 12600,
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"duplicate_ids": [],
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"fields": [
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"end_char",
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"end_token",
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"entity",
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"evaluation_category",
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"id",
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"raw_types",
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"sentence",
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"sources",
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"start_char",
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"start_token",
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"type"
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],
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"identified_fields": {
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"sentence": "sentence",
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"mention": "entity",
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"start": "start_char",
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"end": "end_char",
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"gold_type": "type",
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"evaluation_category": "evaluation_category"
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},
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"null_counts": {},
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"span_mismatch_count": 0,
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| 31 |
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| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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| 55 |
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| 58 |
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| 65 |
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|
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|
| 84 |
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| 85 |
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| 87 |
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| 88 |
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| 91 |
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| 94 |
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|
| 95 |
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|
numbers_for_paper/data_audit/test_label_distribution.csv
ADDED
|
@@ -0,0 +1,22 @@
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
label,count
|
| 2 |
+
GPE,2691
|
| 3 |
+
ORG,2659
|
| 4 |
+
DATE,1977
|
| 5 |
+
PERS,1071
|
| 6 |
+
NORP,1021
|
| 7 |
+
ORDINAL,781
|
| 8 |
+
OCC,770
|
| 9 |
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EVENT,377
|
| 10 |
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CARDINAL,372
|
| 11 |
+
LOC,239
|
| 12 |
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WEBSITE,148
|
| 13 |
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FAC,129
|
| 14 |
+
LAW,91
|
| 15 |
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TIME,87
|
| 16 |
+
MONEY,42
|
| 17 |
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CURR,41
|
| 18 |
+
LANGUAGE,33
|
| 19 |
+
PERCENT,31
|
| 20 |
+
PRODUCT,19
|
| 21 |
+
QUANTITY,10
|
| 22 |
+
UNIT,11
|
numbers_for_paper/data_audit/validation_audit.json
ADDED
|
@@ -0,0 +1,95 @@
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| 1 |
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{
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| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
numbers_for_paper/data_audit/validation_label_distribution.csv
ADDED
|
@@ -0,0 +1,22 @@
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|
|
| 1 |
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label,count
|
| 2 |
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GPE,2690
|
| 3 |
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ORG,2660
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| 4 |
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DATE,1976
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| 5 |
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PERS,1072
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| 6 |
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NORP,1022
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| 7 |
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ORDINAL,780
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| 8 |
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OCC,769
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| 9 |
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EVENT,377
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CARDINAL,373
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| 11 |
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LOC,239
|
| 12 |
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WEBSITE,148
|
| 13 |
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FAC,130
|
| 14 |
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LAW,90
|
| 15 |
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TIME,87
|
| 16 |
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MONEY,42
|
| 17 |
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CURR,41
|
| 18 |
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LANGUAGE,33
|
| 19 |
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PERCENT,31
|
| 20 |
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PRODUCT,19
|
| 21 |
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QUANTITY,11
|
| 22 |
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UNIT,10
|
numbers_for_paper/metrics/best/test/category_metrics.csv
ADDED
|
@@ -0,0 +1,5 @@
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|
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| 1 |
+
row_count,correct_count,accuracy,micro_precision,micro_recall,micro_f1,macro_all_labels_precision,macro_all_labels_recall,macro_all_labels_f1,weighted_precision,weighted_recall,weighted_f1,macro_present_labels_precision,macro_present_labels_recall,macro_present_labels_f1,macro_precision_all_labels,macro_recall_all_labels,macro_f1_all_labels,macro_precision_present_labels,macro_recall_present_labels,macro_f1_present_labels,top3_accuracy,top5_accuracy,log_loss,mean_top1_confidence,median_top1_confidence,p05_top1_confidence,p95_top1_confidence,mean_confidence_correct,mean_confidence_incorrect,category_field,category_value
|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
+
12413,12169,0.9803431885926045,0.9803431885926045,0.9803431885926045,0.9803431885926045,0.649632511071306,0.6428307010783108,0.6461364714198562,0.9806357996885862,0.9803431885926045,0.9804517199674248,0.9744487666069592,0.9642460516174661,0.9692047071297843,0.649632511071306,0.6428307010783108,0.6461364714198562,0.9744487666069592,0.9642460516174661,0.9692047071297843,0.993796825908322,0.996294207685491,0.15243328859391145,0.9957548734558432,1.0,0.9996043562889099,1.0,0.9981771630414638,0.874948144081186,label_frequency_category,frequent_label_gold_support_ge_500_dataset
|
| 5 |
+
187,171,0.9144385026737968,0.9144385026737968,0.9144385026737968,0.9144385026737968,0.3248890757143095,0.310637292786805,0.31710717645832703,0.977959909496639,0.9144385026737968,0.9440013868098467,0.9746672271429286,0.9319118783604151,0.9513215293749812,0.3248890757143095,0.310637292786805,0.31710717645832703,0.9746672271429286,0.9319118783604151,0.9513215293749812,0.9732620320855615,0.9893048128342246,0.4227615581928923,0.9711649582029026,0.9999908208847046,0.7717686951160432,0.9999997615814209,0.985940286639141,0.8132536355406046,label_frequency_category,rare_label_gold_support_lt_500_dataset
|
numbers_for_paper/metrics/best/test/category_metrics.json
ADDED
|
@@ -0,0 +1,142 @@
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|
| 1 |
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|
| 70 |
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|
| 71 |
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| 72 |
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| 73 |
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| 74 |
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|
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|
| 139 |
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|
| 140 |
+
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|
| 141 |
+
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|
| 142 |
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}
|
numbers_for_paper/metrics/best/test/class_wise_most_common_confusions.csv
ADDED
|
@@ -0,0 +1,74 @@
|
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|
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|
|
|
|
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|
|
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|
|
|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
gold,predicted,count
|
| 2 |
+
GPE,ORG,21
|
| 3 |
+
GPE,NORP,6
|
| 4 |
+
GPE,DATE,4
|
| 5 |
+
GPE,LOC,3
|
| 6 |
+
GPE,PERS,2
|
| 7 |
+
ORG,GPE,36
|
| 8 |
+
ORG,NORP,6
|
| 9 |
+
ORG,PERS,5
|
| 10 |
+
ORG,EVENT,3
|
| 11 |
+
ORG,FAC,3
|
| 12 |
+
DATE,GPE,2
|
| 13 |
+
DATE,PERS,2
|
| 14 |
+
DATE,TIME,2
|
| 15 |
+
DATE,NORP,1
|
| 16 |
+
DATE,LOC,1
|
| 17 |
+
PERS,GPE,4
|
| 18 |
+
PERS,ORG,4
|
| 19 |
+
PERS,OCC,4
|
| 20 |
+
PERS,DATE,2
|
| 21 |
+
PERS,NORP,2
|
| 22 |
+
NORP,ORG,7
|
| 23 |
+
NORP,PERS,5
|
| 24 |
+
NORP,GPE,3
|
| 25 |
+
NORP,DATE,1
|
| 26 |
+
NORP,OCC,1
|
| 27 |
+
ORDINAL,ORG,5
|
| 28 |
+
ORDINAL,DATE,3
|
| 29 |
+
ORDINAL,CARDINAL,2
|
| 30 |
+
ORDINAL,PERS,1
|
| 31 |
+
ORDINAL,NORP,1
|
| 32 |
+
OCC,ORG,3
|
| 33 |
+
OCC,GPE,1
|
| 34 |
+
OCC,PERS,1
|
| 35 |
+
OCC,NORP,1
|
| 36 |
+
OCC,WEBSITE,1
|
| 37 |
+
EVENT,ORG,8
|
| 38 |
+
EVENT,NORP,2
|
| 39 |
+
EVENT,FAC,2
|
| 40 |
+
EVENT,GPE,1
|
| 41 |
+
EVENT,PERS,1
|
| 42 |
+
CARDINAL,ORDINAL,8
|
| 43 |
+
CARDINAL,DATE,4
|
| 44 |
+
CARDINAL,OCC,3
|
| 45 |
+
CARDINAL,GPE,1
|
| 46 |
+
CARDINAL,PERS,1
|
| 47 |
+
LOC,GPE,11
|
| 48 |
+
LOC,ORG,2
|
| 49 |
+
LOC,NORP,2
|
| 50 |
+
LOC,PERS,1
|
| 51 |
+
WEBSITE,ORG,1
|
| 52 |
+
WEBSITE,TIME,1
|
| 53 |
+
FAC,GPE,9
|
| 54 |
+
FAC,PERS,2
|
| 55 |
+
FAC,DATE,1
|
| 56 |
+
FAC,LOC,1
|
| 57 |
+
TIME,ORDINAL,4
|
| 58 |
+
TIME,GPE,2
|
| 59 |
+
TIME,FAC,2
|
| 60 |
+
TIME,LANGUAGE,2
|
| 61 |
+
TIME,DATE,1
|
| 62 |
+
MONEY,DATE,1
|
| 63 |
+
MONEY,CARDINAL,1
|
| 64 |
+
MONEY,CURR,1
|
| 65 |
+
MONEY,PERCENT,1
|
| 66 |
+
MONEY,QUANTITY,1
|
| 67 |
+
CURR,DATE,1
|
| 68 |
+
LANGUAGE,NORP,2
|
| 69 |
+
LANGUAGE,GPE,1
|
| 70 |
+
LANGUAGE,PERS,1
|
| 71 |
+
LANGUAGE,TIME,1
|
| 72 |
+
PERCENT,CARDINAL,3
|
| 73 |
+
PERCENT,MONEY,1
|
| 74 |
+
PRODUCT,ORDINAL,1
|
numbers_for_paper/metrics/best/test/classification_report.csv
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
,precision,recall,f1-score,support
|
| 2 |
+
GPE,0.9738970588235294,0.9843924191750278,0.9791166143041952,2691.0
|
| 3 |
+
ORG,0.9807692307692307,0.9781872884543061,0.9794765580869893,2659.0
|
| 4 |
+
DATE,0.9904378459989934,0.9954476479514416,0.992936427850656,1977.0
|
| 5 |
+
PERS,0.9795348837209302,0.9831932773109243,0.9813606710158435,1071.0
|
| 6 |
+
NORP,0.9765395894428153,0.9784524975514202,0.9774951076320939,1021.0
|
| 7 |
+
ORDINAL,0.9820971867007673,0.9833546734955185,0.982725527831094,781.0
|
| 8 |
+
OCC,0.9870466321243523,0.9896103896103896,0.9883268482490273,770.0
|
| 9 |
+
EVENT,0.9864130434782609,0.9628647214854111,0.974496644295302,377.0
|
| 10 |
+
CARDINAL,0.9779005524861878,0.9516129032258065,0.9645776566757494,372.0
|
| 11 |
+
LOC,0.9695652173913043,0.9330543933054394,0.9509594882729211,239.0
|
| 12 |
+
WEBSITE,0.9668874172185431,0.9864864864864865,0.9765886287625418,148.0
|
| 13 |
+
FAC,0.928,0.8992248062015504,0.9133858267716536,129.0
|
| 14 |
+
LAW,1.0,1.0,1.0,91.0
|
| 15 |
+
TIME,0.9156626506024096,0.8735632183908046,0.8941176470588236,87.0
|
| 16 |
+
MONEY,0.9736842105263158,0.8809523809523809,0.925,42.0
|
| 17 |
+
CURR,0.975609756097561,0.975609756097561,0.975609756097561,41.0
|
| 18 |
+
LANGUAGE,0.875,0.8484848484848485,0.8615384615384616,33.0
|
| 19 |
+
PERCENT,0.9642857142857143,0.8709677419354839,0.9152542372881356,31.0
|
| 20 |
+
PRODUCT,1.0,0.9473684210526315,0.972972972972973,19.0
|
| 21 |
+
QUANTITY,0.9090909090909091,1.0,0.9523809523809523,10.0
|
| 22 |
+
UNIT,1.0,1.0,1.0,11.0
|
| 23 |
+
accuracy,0.9793650793650793,0.9793650793650793,0.9793650793650793,0.9793650793650793
|
| 24 |
+
macro avg,0.9672581856551346,0.9534679938651157,0.9599200012897606,12600.0
|
| 25 |
+
weighted avg,0.9793254669511197,0.9793650793650793,0.9792974524068463,12600.0
|
numbers_for_paper/metrics/best/test/classification_report.json
ADDED
|
@@ -0,0 +1,141 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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|
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|
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|
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|
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|
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|
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|
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| 141 |
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|
numbers_for_paper/metrics/best/test/confusion_matrix.csv
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
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|
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|
|
| 1 |
+
,GPE,ORG,DATE,PERS,NORP,ORDINAL,OCC,EVENT,CARDINAL,LOC,WEBSITE,FAC,LAW,TIME,MONEY,CURR,LANGUAGE,PERCENT,PRODUCT,QUANTITY,UNIT
|
| 2 |
+
GPE,2649,21,4,2,6,0,1,1,1,3,2,1,0,0,0,0,0,0,0,0,0
|
| 3 |
+
ORG,36,2601,1,5,6,0,1,3,0,2,1,3,0,0,0,0,0,0,0,0,0
|
| 4 |
+
DATE,2,0,1968,2,1,0,0,0,0,1,0,0,0,2,0,0,1,0,0,0,0
|
| 5 |
+
PERS,4,4,2,1053,2,1,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0
|
| 6 |
+
NORP,3,7,1,5,999,0,1,1,1,0,0,1,0,1,0,0,1,0,0,0,0
|
| 7 |
+
ORDINAL,0,5,3,1,1,768,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0
|
| 8 |
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OCC,1,3,0,1,1,0,762,0,0,0,1,0,0,1,0,0,0,0,0,0,0
|
| 9 |
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EVENT,1,8,0,1,2,0,0,363,0,0,0,2,0,0,0,0,0,0,0,0,0
|
| 10 |
+
CARDINAL,1,0,4,1,1,8,3,0,354,0,0,0,0,0,0,0,0,0,0,0,0
|
| 11 |
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LOC,11,2,0,1,2,0,0,0,0,223,0,0,0,0,0,0,0,0,0,0,0
|
| 12 |
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WEBSITE,0,1,0,0,0,0,0,0,0,0,146,0,0,1,0,0,0,0,0,0,0
|
| 13 |
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FAC,9,0,1,2,0,0,0,0,0,1,0,116,0,0,0,0,0,0,0,0,0
|
| 14 |
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LAW,0,0,0,0,0,0,0,0,0,0,0,0,91,0,0,0,0,0,0,0,0
|
| 15 |
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TIME,2,0,1,0,0,4,0,0,0,0,0,2,0,76,0,0,2,0,0,0,0
|
| 16 |
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MONEY,0,0,1,0,0,0,0,0,1,0,0,0,0,0,37,1,0,1,0,1,0
|
| 17 |
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CURR,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,40,0,0,0,0,0
|
| 18 |
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LANGUAGE,1,0,0,1,2,0,0,0,0,0,0,0,0,1,0,0,28,0,0,0,0
|
| 19 |
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PERCENT,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,27,0,0,0
|
| 20 |
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PRODUCT,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,18,0,0
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| 21 |
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QUANTITY,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,0
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|
numbers_for_paper/metrics/best/test/confusion_matrix.png
ADDED
|
Git LFS Details
|
numbers_for_paper/metrics/best/test/confusion_matrix_normalized_pred.csv
ADDED
|
@@ -0,0 +1,22 @@
|
|
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|
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|
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|
|
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|
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|
|
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|
|
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|
|
|
|
|
| 1 |
+
,GPE,ORG,DATE,PERS,NORP,ORDINAL,OCC,EVENT,CARDINAL,LOC,WEBSITE,FAC,LAW,TIME,MONEY,CURR,LANGUAGE,PERCENT,PRODUCT,QUANTITY,UNIT
|
| 2 |
+
GPE,0.9738970588235294,0.007918552036199095,0.0020130850528434826,0.0018604651162790699,0.005865102639296188,0.0,0.0012953367875647669,0.002717391304347826,0.0027624309392265192,0.013043478260869565,0.013245033112582781,0.008,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 3 |
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ORG,0.013235294117647059,0.9807692307692307,0.0005032712632108706,0.004651162790697674,0.005865102639296188,0.0,0.0012953367875647669,0.008152173913043478,0.0,0.008695652173913044,0.006622516556291391,0.024,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 4 |
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DATE,0.0007352941176470588,0.0,0.9904378459989934,0.0018604651162790699,0.0009775171065493646,0.0,0.0,0.0,0.0,0.004347826086956522,0.0,0.0,0.0,0.024096385542168676,0.0,0.0,0.03125,0.0,0.0,0.0,0.0
|
| 5 |
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PERS,0.0014705882352941176,0.0015082956259426848,0.0010065425264217413,0.9795348837209302,0.0019550342130987292,0.0012787723785166241,0.0051813471502590676,0.0,0.0,0.0,0.006622516556291391,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 6 |
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NORP,0.0011029411764705882,0.0026395173453996985,0.0005032712632108706,0.004651162790697674,0.9765395894428153,0.0,0.0012953367875647669,0.002717391304347826,0.0027624309392265192,0.0,0.0,0.008,0.0,0.012048192771084338,0.0,0.0,0.03125,0.0,0.0,0.0,0.0
|
| 7 |
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ORDINAL,0.0,0.001885369532428356,0.001509813789632612,0.0009302325581395349,0.0009775171065493646,0.9820971867007673,0.0,0.0,0.0055248618784530384,0.0,0.0,0.0,0.0,0.012048192771084338,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 8 |
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OCC,0.0003676470588235294,0.0011312217194570137,0.0,0.0009302325581395349,0.0009775171065493646,0.0,0.9870466321243523,0.0,0.0,0.0,0.006622516556291391,0.0,0.0,0.012048192771084338,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 9 |
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EVENT,0.0003676470588235294,0.0030165912518853697,0.0,0.0009302325581395349,0.0019550342130987292,0.0,0.0,0.9864130434782609,0.0,0.0,0.0,0.016,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 10 |
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CARDINAL,0.0003676470588235294,0.0,0.0020130850528434826,0.0009302325581395349,0.0009775171065493646,0.010230179028132993,0.0038860103626943004,0.0,0.9779005524861878,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 11 |
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LOC,0.004044117647058824,0.0007541478129713424,0.0,0.0009302325581395349,0.0019550342130987292,0.0,0.0,0.0,0.0,0.9695652173913043,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 12 |
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WEBSITE,0.0,0.0003770739064856712,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9668874172185431,0.0,0.0,0.012048192771084338,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 13 |
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FAC,0.0033088235294117647,0.0,0.0005032712632108706,0.0018604651162790699,0.0,0.0,0.0,0.0,0.0,0.004347826086956522,0.0,0.928,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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| 14 |
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LAW,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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| 15 |
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TIME,0.0007352941176470588,0.0,0.0005032712632108706,0.0,0.0,0.005115089514066497,0.0,0.0,0.0,0.0,0.0,0.016,0.0,0.9156626506024096,0.0,0.0,0.0625,0.0,0.0,0.0,0.0
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| 16 |
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MONEY,0.0,0.0,0.0005032712632108706,0.0,0.0,0.0,0.0,0.0,0.0027624309392265192,0.0,0.0,0.0,0.0,0.0,0.9736842105263158,0.024390243902439025,0.0,0.03571428571428571,0.0,0.09090909090909091,0.0
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LANGUAGE,0.0003676470588235294,0.0,0.0,0.0009302325581395349,0.0019550342130987292,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.012048192771084338,0.0,0.0,0.875,0.0,0.0,0.0,0.0
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| 19 |
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PERCENT,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.008287292817679558,0.0,0.0,0.0,0.0,0.0,0.02631578947368421,0.0,0.0,0.9642857142857143,0.0,0.0,0.0
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| 20 |
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PRODUCT,0.0,0.0,0.0,0.0,0.0,0.0012787723785166241,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0
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numbers_for_paper/metrics/best/test/confusion_matrix_normalized_pred.png
ADDED
|
Git LFS Details
|
numbers_for_paper/metrics/best/test/confusion_matrix_normalized_true.csv
ADDED
|
@@ -0,0 +1,22 @@
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| 1 |
+
,GPE,ORG,DATE,PERS,NORP,ORDINAL,OCC,EVENT,CARDINAL,LOC,WEBSITE,FAC,LAW,TIME,MONEY,CURR,LANGUAGE,PERCENT,PRODUCT,QUANTITY,UNIT
|
| 2 |
+
GPE,0.9843924191750278,0.007803790412486065,0.0014864362690449647,0.0007432181345224824,0.002229654403567447,0.0,0.0003716090672612412,0.0003716090672612412,0.0003716090672612412,0.0011148272017837235,0.0007432181345224824,0.0003716090672612412,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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| 3 |
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ORG,0.013538924407672057,0.9781872884543061,0.000376081233546446,0.00188040616773223,0.0022564874012786762,0.0,0.000376081233546446,0.0011282437006393381,0.0,0.000752162467092892,0.000376081233546446,0.0011282437006393381,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 4 |
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DATE,0.0010116337885685382,0.0,0.9954476479514416,0.0010116337885685382,0.0005058168942842691,0.0,0.0,0.0,0.0,0.0005058168942842691,0.0,0.0,0.0,0.0010116337885685382,0.0,0.0,0.0005058168942842691,0.0,0.0,0.0,0.0
|
| 5 |
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PERS,0.003734827264239029,0.003734827264239029,0.0018674136321195146,0.9831932773109243,0.0018674136321195146,0.0009337068160597573,0.003734827264239029,0.0,0.0,0.0,0.0009337068160597573,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 6 |
+
NORP,0.002938295788442703,0.0068560235063663075,0.0009794319294809011,0.004897159647404506,0.9784524975514202,0.0,0.0009794319294809011,0.0009794319294809011,0.0009794319294809011,0.0,0.0,0.0009794319294809011,0.0,0.0009794319294809011,0.0,0.0,0.0009794319294809011,0.0,0.0,0.0,0.0
|
| 7 |
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ORDINAL,0.0,0.006402048655569782,0.0038412291933418692,0.0012804097311139564,0.0012804097311139564,0.9833546734955185,0.0,0.0,0.002560819462227913,0.0,0.0,0.0,0.0,0.0012804097311139564,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 8 |
+
OCC,0.0012987012987012987,0.003896103896103896,0.0,0.0012987012987012987,0.0012987012987012987,0.0,0.9896103896103896,0.0,0.0,0.0,0.0012987012987012987,0.0,0.0,0.0012987012987012987,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 9 |
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EVENT,0.002652519893899204,0.021220159151193633,0.0,0.002652519893899204,0.005305039787798408,0.0,0.0,0.9628647214854111,0.0,0.0,0.0,0.005305039787798408,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
| 10 |
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CARDINAL,0.002688172043010753,0.0,0.010752688172043012,0.002688172043010753,0.002688172043010753,0.021505376344086023,0.008064516129032258,0.0,0.9516129032258065,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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| 11 |
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| 12 |
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WEBSITE,0.0,0.006756756756756757,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9864864864864865,0.0,0.0,0.006756756756756757,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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| 13 |
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FAC,0.06976744186046512,0.0,0.007751937984496124,0.015503875968992248,0.0,0.0,0.0,0.0,0.0,0.007751937984496124,0.0,0.8992248062015504,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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| 14 |
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LAW,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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| 15 |
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TIME,0.022988505747126436,0.0,0.011494252873563218,0.0,0.0,0.04597701149425287,0.0,0.0,0.0,0.0,0.0,0.022988505747126436,0.0,0.8735632183908046,0.0,0.0,0.022988505747126436,0.0,0.0,0.0,0.0
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| 16 |
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MONEY,0.0,0.0,0.023809523809523808,0.0,0.0,0.0,0.0,0.0,0.023809523809523808,0.0,0.0,0.0,0.0,0.0,0.8809523809523809,0.023809523809523808,0.0,0.023809523809523808,0.0,0.023809523809523808,0.0
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| 17 |
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CURR,0.0,0.0,0.024390243902439025,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.975609756097561,0.0,0.0,0.0,0.0,0.0
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| 18 |
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LANGUAGE,0.030303030303030304,0.0,0.0,0.030303030303030304,0.06060606060606061,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.030303030303030304,0.0,0.0,0.8484848484848485,0.0,0.0,0.0,0.0
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| 19 |
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PERCENT,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0967741935483871,0.0,0.0,0.0,0.0,0.0,0.03225806451612903,0.0,0.0,0.8709677419354839,0.0,0.0,0.0
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| 20 |
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PRODUCT,0.0,0.0,0.0,0.0,0.0,0.05263157894736842,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9473684210526315,0.0,0.0
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| 21 |
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QUANTITY,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
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| 22 |
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|
numbers_for_paper/metrics/best/test/confusion_matrix_normalized_true.png
ADDED
|
Git LFS Details
|
numbers_for_paper/metrics/best/test/high_confidence_errors.jsonl
ADDED
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numbers_for_paper/metrics/best/test/incorrect_predictions.jsonl
ADDED
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numbers_for_paper/metrics/best/test/low_confidence_correct.jsonl
ADDED
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+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 24180020
|
numbers_for_paper/metrics/best/test/metrics.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
| 1 |
+
row_count,correct_count,accuracy,micro_precision,micro_recall,micro_f1,macro_all_labels_precision,macro_all_labels_recall,macro_all_labels_f1,weighted_precision,weighted_recall,weighted_f1,macro_present_labels_precision,macro_present_labels_recall,macro_present_labels_f1,macro_precision_all_labels,macro_recall_all_labels,macro_f1_all_labels,macro_precision_present_labels,macro_recall_present_labels,macro_f1_present_labels,top3_accuracy,top5_accuracy,log_loss,mean_top1_confidence,median_top1_confidence,p05_top1_confidence,p95_top1_confidence,mean_confidence_correct,mean_confidence_incorrect,split,checkpoint,labels
|
| 2 |
+
12600,12340,0.9793650793650793,0.9793650793650793,0.9793650793650793,0.9793650793650793,0.9672581856551346,0.9534679938651157,0.9599200012897606,0.9793254669511197,0.9793650793650793,0.9792974524068463,0.9672581856551346,0.9534679938651157,0.9599200012897606,0.9672581856551346,0.9534679938651157,0.9599200012897606,0.9672581856551346,0.9534679938651157,0.9599200012897606,0.9934920634920635,0.9961904761904762,0.15644530338875345,0.9953899278882004,1.0,0.9995064437389374,1.0,0.9980075920637654,0.8711515589402272,test,best,"['GPE', 'ORG', 'DATE', 'PERS', 'NORP', 'ORDINAL', 'OCC', 'EVENT', 'CARDINAL', 'LOC', 'WEBSITE', 'FAC', 'LAW', 'TIME', 'MONEY', 'CURR', 'LANGUAGE', 'PERCENT', 'PRODUCT', 'QUANTITY', 'UNIT']"
|
numbers_for_paper/metrics/best/test/metrics.json
ADDED
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@@ -0,0 +1,57 @@
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| 1 |
+
{
|
| 2 |
+
"row_count": 12600,
|
| 3 |
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"correct_count": 12340,
|
| 4 |
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"accuracy": 0.9793650793650793,
|
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"micro_precision": 0.9793650793650793,
|
| 6 |
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"micro_recall": 0.9793650793650793,
|
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"micro_f1": 0.9793650793650793,
|
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|
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 15 |
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|
| 16 |
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|
| 17 |
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"macro_precision_all_labels": 0.9672581856551346,
|
| 18 |
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"macro_recall_all_labels": 0.9534679938651157,
|
| 19 |
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"macro_f1_all_labels": 0.9599200012897606,
|
| 20 |
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"macro_precision_present_labels": 0.9672581856551346,
|
| 21 |
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"macro_recall_present_labels": 0.9534679938651157,
|
| 22 |
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"macro_f1_present_labels": 0.9599200012897606,
|
| 23 |
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"top3_accuracy": 0.9934920634920635,
|
| 24 |
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"top5_accuracy": 0.9961904761904762,
|
| 25 |
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"log_loss": 0.15644530338875345,
|
| 26 |
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"mean_top1_confidence": 0.9953899278882004,
|
| 27 |
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"median_top1_confidence": 1.0,
|
| 28 |
+
"p05_top1_confidence": 0.9995064437389374,
|
| 29 |
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"p95_top1_confidence": 1.0,
|
| 30 |
+
"mean_confidence_correct": 0.9980075920637654,
|
| 31 |
+
"mean_confidence_incorrect": 0.8711515589402272,
|
| 32 |
+
"split": "test",
|
| 33 |
+
"checkpoint": "best",
|
| 34 |
+
"labels": [
|
| 35 |
+
"GPE",
|
| 36 |
+
"ORG",
|
| 37 |
+
"DATE",
|
| 38 |
+
"PERS",
|
| 39 |
+
"NORP",
|
| 40 |
+
"ORDINAL",
|
| 41 |
+
"OCC",
|
| 42 |
+
"EVENT",
|
| 43 |
+
"CARDINAL",
|
| 44 |
+
"LOC",
|
| 45 |
+
"WEBSITE",
|
| 46 |
+
"FAC",
|
| 47 |
+
"LAW",
|
| 48 |
+
"TIME",
|
| 49 |
+
"MONEY",
|
| 50 |
+
"CURR",
|
| 51 |
+
"LANGUAGE",
|
| 52 |
+
"PERCENT",
|
| 53 |
+
"PRODUCT",
|
| 54 |
+
"QUANTITY",
|
| 55 |
+
"UNIT"
|
| 56 |
+
]
|
| 57 |
+
}
|
numbers_for_paper/metrics/best/test/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,22 @@
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|
| 1 |
+
label,support,predicted_count,true_positives,false_positives,false_negatives,true_negatives,precision,recall,f1,one_vs_rest_accuracy
|
| 2 |
+
GPE,2691,2720,2649,71,42,9838,0.9738970588235294,0.9843924191750278,0.9791166143041952,0.991031746031746
|
| 3 |
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ORG,2659,2652,2601,51,58,9890,0.9807692307692307,0.9781872884543061,0.9794765580869893,0.9913492063492063
|
| 4 |
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DATE,1977,1987,1968,19,9,10604,0.9904378459989934,0.9954476479514416,0.992936427850656,0.9977777777777778
|
| 5 |
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PERS,1071,1075,1053,22,18,11507,0.9795348837209302,0.9831932773109243,0.9813606710158435,0.9968253968253968
|
| 6 |
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NORP,1021,1023,999,24,22,11555,0.9765395894428153,0.9784524975514202,0.9774951076320939,0.9963492063492063
|
| 7 |
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ORDINAL,781,782,768,14,13,11805,0.9820971867007673,0.9833546734955185,0.982725527831094,0.9978571428571429
|
| 8 |
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OCC,770,772,762,10,8,11820,0.9870466321243523,0.9896103896103896,0.9883268482490273,0.9985714285714286
|
| 9 |
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EVENT,377,368,363,5,14,12218,0.9864130434782609,0.9628647214854111,0.974496644295302,0.9984920634920635
|
| 10 |
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CARDINAL,372,362,354,8,18,12220,0.9779005524861878,0.9516129032258065,0.9645776566757494,0.9979365079365079
|
| 11 |
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LOC,239,230,223,7,16,12354,0.9695652173913043,0.9330543933054394,0.9509594882729211,0.9981746031746032
|
| 12 |
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WEBSITE,148,151,146,5,2,12447,0.9668874172185431,0.9864864864864865,0.9765886287625418,0.9994444444444445
|
| 13 |
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FAC,129,125,116,9,13,12462,0.928,0.8992248062015504,0.9133858267716536,0.9982539682539683
|
| 14 |
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LAW,91,91,91,0,0,12509,1.0,1.0,1.0,1.0
|
| 15 |
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TIME,87,83,76,7,11,12506,0.9156626506024096,0.8735632183908046,0.8941176470588236,0.9985714285714286
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| 16 |
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MONEY,42,38,37,1,5,12557,0.9736842105263158,0.8809523809523809,0.925,0.9995238095238095
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| 17 |
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CURR,41,41,40,1,1,12558,0.975609756097561,0.975609756097561,0.975609756097561,0.9998412698412699
|
| 18 |
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LANGUAGE,33,32,28,4,5,12563,0.875,0.8484848484848485,0.8615384615384616,0.9992857142857143
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| 19 |
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PERCENT,31,28,27,1,4,12568,0.9642857142857143,0.8709677419354839,0.9152542372881356,0.9996031746031746
|
| 20 |
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PRODUCT,19,18,18,0,1,12581,1.0,0.9473684210526315,0.972972972972973,0.9999206349206349
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| 21 |
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QUANTITY,10,11,10,1,0,12589,0.9090909090909091,1.0,0.9523809523809523,0.9999206349206349
|
| 22 |
+
UNIT,11,11,11,0,0,12589,1.0,1.0,1.0,1.0
|
numbers_for_paper/metrics/best/test/top_confusions.csv
ADDED
|
@@ -0,0 +1,31 @@
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+
gold,predicted,count
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+
ORG,GPE,36
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| 3 |
+
GPE,ORG,21
|
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+
LOC,GPE,11
|
| 5 |
+
FAC,GPE,9
|
| 6 |
+
EVENT,ORG,8
|
| 7 |
+
CARDINAL,ORDINAL,8
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+
NORP,ORG,7
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| 9 |
+
GPE,NORP,6
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+
ORG,NORP,6
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+
ORG,PERS,5
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+
NORP,PERS,5
|
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+
ORDINAL,ORG,5
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+
GPE,DATE,4
|
| 15 |
+
PERS,GPE,4
|
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+
PERS,ORG,4
|
| 17 |
+
PERS,OCC,4
|
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+
CARDINAL,DATE,4
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TIME,ORDINAL,4
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+
GPE,LOC,3
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+
ORG,EVENT,3
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+
ORG,FAC,3
|
| 23 |
+
NORP,GPE,3
|
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+
ORDINAL,DATE,3
|
| 25 |
+
OCC,ORG,3
|
| 26 |
+
CARDINAL,OCC,3
|
| 27 |
+
PERCENT,CARDINAL,3
|
| 28 |
+
GPE,PERS,2
|
| 29 |
+
GPE,WEBSITE,2
|
| 30 |
+
ORG,LOC,2
|
| 31 |
+
DATE,GPE,2
|
numbers_for_paper/metrics/best/validation/category_metrics.csv
ADDED
|
@@ -0,0 +1,5 @@
|
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+
row_count,correct_count,accuracy,micro_precision,micro_recall,micro_f1,macro_all_labels_precision,macro_all_labels_recall,macro_all_labels_f1,weighted_precision,weighted_recall,weighted_f1,macro_present_labels_precision,macro_present_labels_recall,macro_present_labels_f1,macro_precision_all_labels,macro_recall_all_labels,macro_f1_all_labels,macro_precision_present_labels,macro_recall_present_labels,macro_f1_present_labels,top3_accuracy,top5_accuracy,log_loss,mean_top1_confidence,median_top1_confidence,p05_top1_confidence,p95_top1_confidence,mean_confidence_correct,mean_confidence_incorrect,category_field,category_value
|
| 2 |
+
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|
| 3 |
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|
| 4 |
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|
| 5 |
+
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|
numbers_for_paper/metrics/best/validation/category_metrics.json
ADDED
|
@@ -0,0 +1,142 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
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| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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|
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|
| 70 |
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|
| 71 |
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| 72 |
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|
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|
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|
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|
| 140 |
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|
| 141 |
+
}
|
| 142 |
+
}
|
numbers_for_paper/metrics/best/validation/class_wise_most_common_confusions.csv
ADDED
|
@@ -0,0 +1,70 @@
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|
|
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|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
gold,predicted,count
|
| 2 |
+
GPE,ORG,27
|
| 3 |
+
GPE,PERS,4
|
| 4 |
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GPE,DATE,3
|
| 5 |
+
GPE,NORP,3
|
| 6 |
+
GPE,EVENT,3
|
| 7 |
+
ORG,GPE,21
|
| 8 |
+
ORG,NORP,5
|
| 9 |
+
ORG,PERS,4
|
| 10 |
+
ORG,EVENT,4
|
| 11 |
+
ORG,FAC,3
|
| 12 |
+
DATE,GPE,3
|
| 13 |
+
DATE,ORDINAL,3
|
| 14 |
+
DATE,PERS,1
|
| 15 |
+
DATE,NORP,1
|
| 16 |
+
DATE,OCC,1
|
| 17 |
+
PERS,GPE,7
|
| 18 |
+
PERS,NORP,7
|
| 19 |
+
PERS,ORG,5
|
| 20 |
+
PERS,OCC,5
|
| 21 |
+
PERS,FAC,3
|
| 22 |
+
NORP,ORG,19
|
| 23 |
+
NORP,PERS,11
|
| 24 |
+
NORP,GPE,7
|
| 25 |
+
NORP,OCC,3
|
| 26 |
+
NORP,EVENT,3
|
| 27 |
+
ORDINAL,NORP,4
|
| 28 |
+
ORDINAL,GPE,3
|
| 29 |
+
ORDINAL,ORG,2
|
| 30 |
+
ORDINAL,PERS,2
|
| 31 |
+
ORDINAL,CARDINAL,2
|
| 32 |
+
OCC,PERS,5
|
| 33 |
+
OCC,GPE,2
|
| 34 |
+
OCC,ORG,1
|
| 35 |
+
OCC,NORP,1
|
| 36 |
+
OCC,WEBSITE,1
|
| 37 |
+
EVENT,ORG,10
|
| 38 |
+
EVENT,GPE,4
|
| 39 |
+
EVENT,DATE,2
|
| 40 |
+
EVENT,NORP,2
|
| 41 |
+
EVENT,FAC,2
|
| 42 |
+
CARDINAL,ORDINAL,6
|
| 43 |
+
CARDINAL,DATE,1
|
| 44 |
+
CARDINAL,TIME,1
|
| 45 |
+
LOC,GPE,5
|
| 46 |
+
LOC,ORG,2
|
| 47 |
+
LOC,NORP,1
|
| 48 |
+
LOC,FAC,1
|
| 49 |
+
WEBSITE,ORG,1
|
| 50 |
+
FAC,GPE,6
|
| 51 |
+
FAC,ORG,2
|
| 52 |
+
FAC,EVENT,1
|
| 53 |
+
TIME,DATE,4
|
| 54 |
+
TIME,GPE,2
|
| 55 |
+
TIME,ORDINAL,2
|
| 56 |
+
TIME,ORG,1
|
| 57 |
+
TIME,LOC,1
|
| 58 |
+
CURR,OCC,1
|
| 59 |
+
CURR,MONEY,1
|
| 60 |
+
LANGUAGE,ORG,2
|
| 61 |
+
LANGUAGE,GPE,1
|
| 62 |
+
LANGUAGE,NORP,1
|
| 63 |
+
LANGUAGE,TIME,1
|
| 64 |
+
PERCENT,CARDINAL,2
|
| 65 |
+
PERCENT,MONEY,1
|
| 66 |
+
PRODUCT,ORG,1
|
| 67 |
+
PRODUCT,PERS,1
|
| 68 |
+
PRODUCT,ORDINAL,1
|
| 69 |
+
QUANTITY,MONEY,1
|
| 70 |
+
QUANTITY,UNIT,1
|
numbers_for_paper/metrics/best/validation/classification_report.csv
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
,precision,recall,f1-score,support
|
| 2 |
+
GPE,0.977432482426933,0.9821561338289962,0.9797886148711292,2690.0
|
| 3 |
+
ORG,0.9728321548195012,0.9827067669172932,0.9777445296427903,2660.0
|
| 4 |
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DATE,0.9934310257705912,0.9949392712550608,0.9941845764854614,1976.0
|
| 5 |
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PERS,0.9738317757009346,0.9720149253731343,0.972922502334267,1072.0
|
| 6 |
+
NORP,0.9750499001996008,0.9559686888454012,0.9654150197628458,1022.0
|
| 7 |
+
ORDINAL,0.9795134443021767,0.9807692307692307,0.9801409352978859,780.0
|
| 8 |
+
OCC,0.981888745148771,0.9869960988296489,0.9844357976653697,769.0
|
| 9 |
+
EVENT,0.9673024523160763,0.9416445623342176,0.9543010752688172,377.0
|
| 10 |
+
CARDINAL,0.9733333333333334,0.9785522788203753,0.9759358288770054,373.0
|
| 11 |
+
LOC,0.9745762711864406,0.9623430962343096,0.968421052631579,239.0
|
| 12 |
+
WEBSITE,0.9865771812080537,0.9932432432432432,0.98989898989899,148.0
|
| 13 |
+
FAC,0.9166666666666666,0.9307692307692308,0.9236641221374046,130.0
|
| 14 |
+
LAW,1.0,1.0,1.0,90.0
|
| 15 |
+
TIME,0.9743589743589743,0.8735632183908046,0.9212121212121213,87.0
|
| 16 |
+
MONEY,0.9333333333333333,1.0,0.9655172413793104,42.0
|
| 17 |
+
CURR,1.0,0.9512195121951219,0.975,41.0
|
| 18 |
+
LANGUAGE,0.9333333333333333,0.8484848484848485,0.8888888888888888,33.0
|
| 19 |
+
PERCENT,1.0,0.9032258064516129,0.9491525423728814,31.0
|
| 20 |
+
PRODUCT,1.0,0.8421052631578947,0.9142857142857143,19.0
|
| 21 |
+
QUANTITY,1.0,0.8181818181818182,0.9,11.0
|
| 22 |
+
UNIT,0.9090909090909091,1.0,0.9523809523809523,10.0
|
| 23 |
+
accuracy,0.9778571428571429,0.9778571428571429,0.9778571428571429,0.9778571428571429
|
| 24 |
+
macro avg,0.9725024753902682,0.9475659044801065,0.9587281193044483,12600.0
|
| 25 |
+
weighted avg,0.977879248064854,0.9778571428571429,0.9777906938936711,12600.0
|
numbers_for_paper/metrics/best/validation/classification_report.json
ADDED
|
@@ -0,0 +1,141 @@
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 17 |
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| 19 |
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| 20 |
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| 21 |
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| 26 |
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| 27 |
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|
| 31 |
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| 32 |
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| 33 |
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| 38 |
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| 39 |
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| 50 |
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| 51 |
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| 56 |
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| 57 |
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| 63 |
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| 68 |
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|
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| 74 |
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| 75 |
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|
| 77 |
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|
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
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|
| 86 |
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|
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|
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| 93 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
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|
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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},
|
| 116 |
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"QUANTITY": {
|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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"UNIT": {
|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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},
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
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|
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
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}
|
| 141 |
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}
|
numbers_for_paper/metrics/best/validation/confusion_matrix.csv
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
| 1 |
+
,GPE,ORG,DATE,PERS,NORP,ORDINAL,OCC,EVENT,CARDINAL,LOC,WEBSITE,FAC,LAW,TIME,MONEY,CURR,LANGUAGE,PERCENT,PRODUCT,QUANTITY,UNIT
|
| 2 |
+
GPE,2642,27,3,4,3,1,1,3,2,3,0,0,0,0,0,0,1,0,0,0,0
|
| 3 |
+
ORG,21,2614,1,4,5,2,2,4,2,2,0,3,0,0,0,0,0,0,0,0,0
|
| 4 |
+
DATE,3,0,1966,1,1,3,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0
|
| 5 |
+
PERS,7,5,1,1042,7,1,5,0,0,0,1,3,0,0,0,0,0,0,0,0,0
|
| 6 |
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Git LFS Details
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numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_pred.csv
ADDED
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Git LFS Details
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numbers_for_paper/metrics/best/validation/confusion_matrix_normalized_true.csv
ADDED
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| 1 |
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| 2 |
+
12600,12321,0.9778571428571429,0.9778571428571429,0.9778571428571429,0.9778571428571429,0.9725024753902682,0.9475659044801065,0.9587281193044483,0.977879248064854,0.9778571428571429,0.9777906938936711,0.9725024753902682,0.9475659044801065,0.9587281193044483,0.9725024753902682,0.9475659044801065,0.9587281193044483,0.9725024753902682,0.9475659044801065,0.9587281193044483,0.9935714285714285,0.9964285714285714,0.16301231904575128,0.9950786315425048,1.0,0.9994885444641113,1.0,0.9979185858491508,0.869662584903847,validation,best,"['GPE', 'ORG', 'DATE', 'PERS', 'NORP', 'ORDINAL', 'OCC', 'EVENT', 'CARDINAL', 'LOC', 'WEBSITE', 'FAC', 'LAW', 'TIME', 'MONEY', 'CURR', 'LANGUAGE', 'PERCENT', 'PRODUCT', 'QUANTITY', 'UNIT']"
|
numbers_for_paper/metrics/best/validation/metrics.json
ADDED
|
@@ -0,0 +1,57 @@
|
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|
|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"row_count": 12600,
|
| 3 |
+
"correct_count": 12321,
|
| 4 |
+
"accuracy": 0.9778571428571429,
|
| 5 |
+
"micro_precision": 0.9778571428571429,
|
| 6 |
+
"micro_recall": 0.9778571428571429,
|
| 7 |
+
"micro_f1": 0.9778571428571429,
|
| 8 |
+
"macro_all_labels_precision": 0.9725024753902682,
|
| 9 |
+
"macro_all_labels_recall": 0.9475659044801065,
|
| 10 |
+
"macro_all_labels_f1": 0.9587281193044483,
|
| 11 |
+
"weighted_precision": 0.977879248064854,
|
| 12 |
+
"weighted_recall": 0.9778571428571429,
|
| 13 |
+
"weighted_f1": 0.9777906938936711,
|
| 14 |
+
"macro_present_labels_precision": 0.9725024753902682,
|
| 15 |
+
"macro_present_labels_recall": 0.9475659044801065,
|
| 16 |
+
"macro_present_labels_f1": 0.9587281193044483,
|
| 17 |
+
"macro_precision_all_labels": 0.9725024753902682,
|
| 18 |
+
"macro_recall_all_labels": 0.9475659044801065,
|
| 19 |
+
"macro_f1_all_labels": 0.9587281193044483,
|
| 20 |
+
"macro_precision_present_labels": 0.9725024753902682,
|
| 21 |
+
"macro_recall_present_labels": 0.9475659044801065,
|
| 22 |
+
"macro_f1_present_labels": 0.9587281193044483,
|
| 23 |
+
"top3_accuracy": 0.9935714285714285,
|
| 24 |
+
"top5_accuracy": 0.9964285714285714,
|
| 25 |
+
"log_loss": 0.16301231904575128,
|
| 26 |
+
"mean_top1_confidence": 0.9950786315425048,
|
| 27 |
+
"median_top1_confidence": 1.0,
|
| 28 |
+
"p05_top1_confidence": 0.9994885444641113,
|
| 29 |
+
"p95_top1_confidence": 1.0,
|
| 30 |
+
"mean_confidence_correct": 0.9979185858491508,
|
| 31 |
+
"mean_confidence_incorrect": 0.869662584903847,
|
| 32 |
+
"split": "validation",
|
| 33 |
+
"checkpoint": "best",
|
| 34 |
+
"labels": [
|
| 35 |
+
"GPE",
|
| 36 |
+
"ORG",
|
| 37 |
+
"DATE",
|
| 38 |
+
"PERS",
|
| 39 |
+
"NORP",
|
| 40 |
+
"ORDINAL",
|
| 41 |
+
"OCC",
|
| 42 |
+
"EVENT",
|
| 43 |
+
"CARDINAL",
|
| 44 |
+
"LOC",
|
| 45 |
+
"WEBSITE",
|
| 46 |
+
"FAC",
|
| 47 |
+
"LAW",
|
| 48 |
+
"TIME",
|
| 49 |
+
"MONEY",
|
| 50 |
+
"CURR",
|
| 51 |
+
"LANGUAGE",
|
| 52 |
+
"PERCENT",
|
| 53 |
+
"PRODUCT",
|
| 54 |
+
"QUANTITY",
|
| 55 |
+
"UNIT"
|
| 56 |
+
]
|
| 57 |
+
}
|
numbers_for_paper/metrics/best/validation/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,22 @@
|
|
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|
|
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|
|
| 1 |
+
label,support,predicted_count,true_positives,false_positives,false_negatives,true_negatives,precision,recall,f1,one_vs_rest_accuracy
|
| 2 |
+
GPE,2690,2703,2642,61,48,9849,0.977432482426933,0.9821561338289962,0.9797886148711292,0.9913492063492063
|
| 3 |
+
ORG,2660,2687,2614,73,46,9867,0.9728321548195012,0.9827067669172932,0.9777445296427903,0.9905555555555555
|
| 4 |
+
DATE,1976,1979,1966,13,10,10611,0.9934310257705912,0.9949392712550608,0.9941845764854614,0.9981746031746032
|
| 5 |
+
PERS,1072,1070,1042,28,30,11500,0.9738317757009346,0.9720149253731343,0.972922502334267,0.9953968253968254
|
| 6 |
+
NORP,1022,1002,977,25,45,11553,0.9750499001996008,0.9559686888454012,0.9654150197628458,0.9944444444444445
|
| 7 |
+
ORDINAL,780,781,765,16,15,11804,0.9795134443021767,0.9807692307692307,0.9801409352978859,0.9975396825396825
|
| 8 |
+
OCC,769,773,759,14,10,11817,0.981888745148771,0.9869960988296489,0.9844357976653697,0.9980952380952381
|
| 9 |
+
EVENT,377,367,355,12,22,12211,0.9673024523160763,0.9416445623342176,0.9543010752688172,0.9973015873015874
|
| 10 |
+
CARDINAL,373,375,365,10,8,12217,0.9733333333333334,0.9785522788203753,0.9759358288770054,0.9985714285714286
|
| 11 |
+
LOC,239,236,230,6,9,12355,0.9745762711864406,0.9623430962343096,0.968421052631579,0.9988095238095238
|
| 12 |
+
WEBSITE,148,149,147,2,1,12450,0.9865771812080537,0.9932432432432432,0.98989898989899,0.9997619047619047
|
| 13 |
+
FAC,130,132,121,11,9,12459,0.9166666666666666,0.9307692307692308,0.9236641221374046,0.9984126984126984
|
| 14 |
+
LAW,90,90,90,0,0,12510,1.0,1.0,1.0,1.0
|
| 15 |
+
TIME,87,78,76,2,11,12511,0.9743589743589743,0.8735632183908046,0.9212121212121213,0.998968253968254
|
| 16 |
+
MONEY,42,45,42,3,0,12555,0.9333333333333333,1.0,0.9655172413793104,0.9997619047619047
|
| 17 |
+
CURR,41,39,39,0,2,12559,1.0,0.9512195121951219,0.975,0.9998412698412699
|
| 18 |
+
LANGUAGE,33,30,28,2,5,12565,0.9333333333333333,0.8484848484848485,0.8888888888888888,0.9994444444444445
|
| 19 |
+
PERCENT,31,28,28,0,3,12569,1.0,0.9032258064516129,0.9491525423728814,0.9997619047619047
|
| 20 |
+
PRODUCT,19,16,16,0,3,12581,1.0,0.8421052631578947,0.9142857142857143,0.9997619047619047
|
| 21 |
+
QUANTITY,11,9,9,0,2,12589,1.0,0.8181818181818182,0.9,0.9998412698412699
|
| 22 |
+
UNIT,10,11,10,1,0,12589,0.9090909090909091,1.0,0.9523809523809523,0.9999206349206349
|
numbers_for_paper/metrics/best/validation/top_confusions.csv
ADDED
|
@@ -0,0 +1,31 @@
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|
| 1 |
+
gold,predicted,count
|
| 2 |
+
GPE,ORG,27
|
| 3 |
+
ORG,GPE,21
|
| 4 |
+
NORP,ORG,19
|
| 5 |
+
NORP,PERS,11
|
| 6 |
+
EVENT,ORG,10
|
| 7 |
+
PERS,GPE,7
|
| 8 |
+
PERS,NORP,7
|
| 9 |
+
NORP,GPE,7
|
| 10 |
+
CARDINAL,ORDINAL,6
|
| 11 |
+
FAC,GPE,6
|
| 12 |
+
ORG,NORP,5
|
| 13 |
+
PERS,ORG,5
|
| 14 |
+
PERS,OCC,5
|
| 15 |
+
OCC,PERS,5
|
| 16 |
+
LOC,GPE,5
|
| 17 |
+
GPE,PERS,4
|
| 18 |
+
ORG,PERS,4
|
| 19 |
+
ORG,EVENT,4
|
| 20 |
+
ORDINAL,NORP,4
|
| 21 |
+
EVENT,GPE,4
|
| 22 |
+
TIME,DATE,4
|
| 23 |
+
GPE,DATE,3
|
| 24 |
+
GPE,NORP,3
|
| 25 |
+
GPE,EVENT,3
|
| 26 |
+
GPE,LOC,3
|
| 27 |
+
ORG,FAC,3
|
| 28 |
+
DATE,GPE,3
|
| 29 |
+
DATE,ORDINAL,3
|
| 30 |
+
PERS,FAC,3
|
| 31 |
+
NORP,OCC,3
|
numbers_for_paper/metrics/latest/test/category_metrics.csv
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
| 1 |
+
row_count,correct_count,accuracy,micro_precision,micro_recall,micro_f1,macro_all_labels_precision,macro_all_labels_recall,macro_all_labels_f1,weighted_precision,weighted_recall,weighted_f1,macro_present_labels_precision,macro_present_labels_recall,macro_present_labels_f1,macro_precision_all_labels,macro_recall_all_labels,macro_f1_all_labels,macro_precision_present_labels,macro_recall_present_labels,macro_f1_present_labels,top3_accuracy,top5_accuracy,log_loss,mean_top1_confidence,median_top1_confidence,p05_top1_confidence,p95_top1_confidence,mean_confidence_correct,mean_confidence_incorrect,category_field,category_value
|
| 2 |
+
11606,11383,0.9807858004480441,0.9807858004480441,0.9807858004480441,0.9807858004480441,0.970248804493168,0.9589518854295287,0.964096406841693,0.9807477003420003,0.9807858004480441,0.9807125672627535,0.970248804493168,0.9589518854295287,0.964096406841693,0.970248804493168,0.9589518854295287,0.964096406841693,0.970248804493168,0.9589518854295287,0.964096406841693,0.9943994485610891,0.9967258314664829,0.14870123961865775,0.995741135430977,1.0,0.9996090829372406,1.0,0.9979960249019697,0.8806406562905675,evaluation_category,seen_sentence_new_entity
|
| 3 |
+
994,957,0.9627766599597586,0.9627766599597586,0.9627766599597586,0.9627766599597586,0.8621871812676783,0.8440708315067772,0.8506415101139764,0.9615439764829642,0.9627766599597586,0.9617803672434098,0.9052965403310622,0.886274373082116,0.8931735856196752,0.8621871812676783,0.8440708315067772,0.8506415101139764,0.9052965403310622,0.886274373082116,0.8931735856196752,0.9818913480885312,0.9899396378269618,0.24393869330234744,0.9909152250954323,0.9999997615814209,0.995781660079956,1.0,0.9978517044798833,0.8115041231786883,evaluation_category,unseen_sentence
|
| 4 |
+
12413,12169,0.9803431885926045,0.9803431885926045,0.9803431885926045,0.9803431885926045,0.6496038901616236,0.64283091403861,0.6461224490926283,0.9806342861930728,0.9803431885926045,0.9804518205405721,0.9744058352424354,0.9642463710579151,0.9691836736389423,0.6496038901616236,0.64283091403861,0.6461224490926283,0.9744058352424354,0.9642463710579151,0.9691836736389423,0.9937162652058326,0.996294207685491,0.1522654708713368,0.9957194130354228,1.0,0.9995974659919739,1.0,0.9981513768838616,0.8744301996270164,label_frequency_category,frequent_label_gold_support_ge_500_dataset
|
| 5 |
+
187,171,0.9144385026737968,0.9144385026737968,0.9144385026737968,0.9144385026737968,0.3248890757143095,0.310637292786805,0.31710717645832703,0.977959909496639,0.9144385026737968,0.9440013868098467,0.9746672271429286,0.9319118783604151,0.9513215293749812,0.3248890757143095,0.310637292786805,0.31710717645832703,0.9746672271429286,0.9319118783604151,0.9513215293749812,0.9732620320855615,0.9893048128342246,0.41834416166187954,0.9715308959790092,0.9999912977218628,0.7683767378330231,0.9999997615814209,0.9861329084599925,0.815471887588501,label_frequency_category,rare_label_gold_support_lt_500_dataset
|
numbers_for_paper/metrics/latest/test/category_metrics.json
ADDED
|
@@ -0,0 +1,142 @@
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|
| 1 |
+
{
|
| 2 |
+
"evaluation_category": {
|
| 3 |
+
"seen_sentence_new_entity": {
|
| 4 |
+
"row_count": 11606,
|
| 5 |
+
"correct_count": 11383,
|
| 6 |
+
"accuracy": 0.9807858004480441,
|
| 7 |
+
"micro_precision": 0.9807858004480441,
|
| 8 |
+
"micro_recall": 0.9807858004480441,
|
| 9 |
+
"micro_f1": 0.9807858004480441,
|
| 10 |
+
"macro_all_labels_precision": 0.970248804493168,
|
| 11 |
+
"macro_all_labels_recall": 0.9589518854295287,
|
| 12 |
+
"macro_all_labels_f1": 0.964096406841693,
|
| 13 |
+
"weighted_precision": 0.9807477003420003,
|
| 14 |
+
"weighted_recall": 0.9807858004480441,
|
| 15 |
+
"weighted_f1": 0.9807125672627535,
|
| 16 |
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| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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| 74 |
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|
| 105 |
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|
| 106 |
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| 107 |
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| 108 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 139 |
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|
| 140 |
+
}
|
| 141 |
+
}
|
| 142 |
+
}
|
numbers_for_paper/metrics/latest/test/class_wise_most_common_confusions.csv
ADDED
|
@@ -0,0 +1,74 @@
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
gold,predicted,count
|
| 2 |
+
GPE,ORG,21
|
| 3 |
+
GPE,NORP,7
|
| 4 |
+
GPE,DATE,4
|
| 5 |
+
GPE,LOC,3
|
| 6 |
+
GPE,PERS,2
|
| 7 |
+
ORG,GPE,35
|
| 8 |
+
ORG,NORP,6
|
| 9 |
+
ORG,PERS,5
|
| 10 |
+
ORG,EVENT,3
|
| 11 |
+
ORG,FAC,3
|
| 12 |
+
DATE,GPE,2
|
| 13 |
+
DATE,PERS,2
|
| 14 |
+
DATE,TIME,2
|
| 15 |
+
DATE,NORP,1
|
| 16 |
+
DATE,LOC,1
|
| 17 |
+
PERS,GPE,4
|
| 18 |
+
PERS,ORG,4
|
| 19 |
+
PERS,OCC,4
|
| 20 |
+
PERS,DATE,2
|
| 21 |
+
PERS,NORP,2
|
| 22 |
+
NORP,ORG,7
|
| 23 |
+
NORP,PERS,5
|
| 24 |
+
NORP,GPE,3
|
| 25 |
+
NORP,DATE,1
|
| 26 |
+
NORP,OCC,1
|
| 27 |
+
ORDINAL,ORG,5
|
| 28 |
+
ORDINAL,DATE,3
|
| 29 |
+
ORDINAL,CARDINAL,2
|
| 30 |
+
ORDINAL,PERS,1
|
| 31 |
+
ORDINAL,NORP,1
|
| 32 |
+
OCC,ORG,3
|
| 33 |
+
OCC,GPE,1
|
| 34 |
+
OCC,PERS,1
|
| 35 |
+
OCC,NORP,1
|
| 36 |
+
OCC,WEBSITE,1
|
| 37 |
+
EVENT,ORG,8
|
| 38 |
+
EVENT,NORP,2
|
| 39 |
+
EVENT,FAC,2
|
| 40 |
+
EVENT,GPE,1
|
| 41 |
+
EVENT,PERS,1
|
| 42 |
+
CARDINAL,ORDINAL,8
|
| 43 |
+
CARDINAL,DATE,4
|
| 44 |
+
CARDINAL,OCC,3
|
| 45 |
+
CARDINAL,GPE,1
|
| 46 |
+
CARDINAL,PERS,1
|
| 47 |
+
LOC,GPE,11
|
| 48 |
+
LOC,ORG,2
|
| 49 |
+
LOC,NORP,2
|
| 50 |
+
LOC,PERS,1
|
| 51 |
+
WEBSITE,ORG,1
|
| 52 |
+
WEBSITE,TIME,1
|
| 53 |
+
FAC,GPE,9
|
| 54 |
+
FAC,PERS,2
|
| 55 |
+
FAC,DATE,1
|
| 56 |
+
FAC,LOC,1
|
| 57 |
+
TIME,ORDINAL,4
|
| 58 |
+
TIME,GPE,2
|
| 59 |
+
TIME,FAC,2
|
| 60 |
+
TIME,LANGUAGE,2
|
| 61 |
+
TIME,DATE,1
|
| 62 |
+
MONEY,DATE,1
|
| 63 |
+
MONEY,CARDINAL,1
|
| 64 |
+
MONEY,CURR,1
|
| 65 |
+
MONEY,PERCENT,1
|
| 66 |
+
MONEY,QUANTITY,1
|
| 67 |
+
CURR,DATE,1
|
| 68 |
+
LANGUAGE,NORP,2
|
| 69 |
+
LANGUAGE,GPE,1
|
| 70 |
+
LANGUAGE,PERS,1
|
| 71 |
+
LANGUAGE,TIME,1
|
| 72 |
+
PERCENT,CARDINAL,3
|
| 73 |
+
PERCENT,MONEY,1
|
| 74 |
+
PRODUCT,ORDINAL,1
|
numbers_for_paper/metrics/latest/test/classification_report.csv
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
,precision,recall,f1-score,support
|
| 2 |
+
GPE,0.9742457689477557,0.9840208101077667,0.97910889258643,2691.0
|
| 3 |
+
ORG,0.9807764794572182,0.9785633696878526,0.9796686746987951,2659.0
|
| 4 |
+
DATE,0.9904378459989934,0.9954476479514416,0.992936427850656,1977.0
|
| 5 |
+
PERS,0.9795348837209302,0.9831932773109243,0.9813606710158435,1071.0
|
| 6 |
+
NORP,0.9755859375,0.9784524975514202,0.9770171149144254,1021.0
|
| 7 |
+
ORDINAL,0.9820971867007673,0.9833546734955185,0.982725527831094,781.0
|
| 8 |
+
OCC,0.9870466321243523,0.9896103896103896,0.9883268482490273,770.0
|
| 9 |
+
EVENT,0.9864130434782609,0.9628647214854111,0.974496644295302,377.0
|
| 10 |
+
CARDINAL,0.9779005524861878,0.9516129032258065,0.9645776566757494,372.0
|
| 11 |
+
LOC,0.9695652173913043,0.9330543933054394,0.9509594882729211,239.0
|
| 12 |
+
WEBSITE,0.9668874172185431,0.9864864864864865,0.9765886287625418,148.0
|
| 13 |
+
FAC,0.928,0.8992248062015504,0.9133858267716536,129.0
|
| 14 |
+
LAW,1.0,1.0,1.0,91.0
|
| 15 |
+
TIME,0.9156626506024096,0.8735632183908046,0.8941176470588236,87.0
|
| 16 |
+
MONEY,0.9736842105263158,0.8809523809523809,0.925,42.0
|
| 17 |
+
CURR,0.975609756097561,0.975609756097561,0.975609756097561,41.0
|
| 18 |
+
LANGUAGE,0.875,0.8484848484848485,0.8615384615384616,33.0
|
| 19 |
+
PERCENT,0.9642857142857143,0.8709677419354839,0.9152542372881356,31.0
|
| 20 |
+
PRODUCT,1.0,0.9473684210526315,0.972972972972973,19.0
|
| 21 |
+
QUANTITY,0.9090909090909091,1.0,0.9523809523809523,10.0
|
| 22 |
+
UNIT,1.0,1.0,1.0,11.0
|
| 23 |
+
accuracy,0.9793650793650793,0.9793650793650793,0.9793650793650793,0.9793650793650793
|
| 24 |
+
macro avg,0.9672297240774869,0.953468206825415,0.9599060204410164,12600.0
|
| 25 |
+
weighted avg,0.9793241950917576,0.9793650793650793,0.9792976133880797,12600.0
|
numbers_for_paper/metrics/latest/test/classification_report.json
ADDED
|
@@ -0,0 +1,141 @@
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| 1 |
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{
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| 2 |
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| 3 |
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|
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| 141 |
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numbers_for_paper/metrics/latest/test/confusion_matrix.csv
ADDED
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@@ -0,0 +1,22 @@
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| 1 |
+
,GPE,ORG,DATE,PERS,NORP,ORDINAL,OCC,EVENT,CARDINAL,LOC,WEBSITE,FAC,LAW,TIME,MONEY,CURR,LANGUAGE,PERCENT,PRODUCT,QUANTITY,UNIT
|
| 2 |
+
GPE,2648,21,4,2,7,0,1,1,1,3,2,1,0,0,0,0,0,0,0,0,0
|
| 3 |
+
ORG,35,2602,1,5,6,0,1,3,0,2,1,3,0,0,0,0,0,0,0,0,0
|
| 4 |
+
DATE,2,0,1968,2,1,0,0,0,0,1,0,0,0,2,0,0,1,0,0,0,0
|
| 5 |
+
PERS,4,4,2,1053,2,1,4,0,0,0,1,0,0,0,0,0,0,0,0,0,0
|
| 6 |
+
NORP,3,7,1,5,999,0,1,1,1,0,0,1,0,1,0,0,1,0,0,0,0
|
| 7 |
+
ORDINAL,0,5,3,1,1,768,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0
|
| 8 |
+
OCC,1,3,0,1,1,0,762,0,0,0,1,0,0,1,0,0,0,0,0,0,0
|
| 9 |
+
EVENT,1,8,0,1,2,0,0,363,0,0,0,2,0,0,0,0,0,0,0,0,0
|
| 10 |
+
CARDINAL,1,0,4,1,1,8,3,0,354,0,0,0,0,0,0,0,0,0,0,0,0
|
| 11 |
+
LOC,11,2,0,1,2,0,0,0,0,223,0,0,0,0,0,0,0,0,0,0,0
|
| 12 |
+
WEBSITE,0,1,0,0,0,0,0,0,0,0,146,0,0,1,0,0,0,0,0,0,0
|
| 13 |
+
FAC,9,0,1,2,0,0,0,0,0,1,0,116,0,0,0,0,0,0,0,0,0
|
| 14 |
+
LAW,0,0,0,0,0,0,0,0,0,0,0,0,91,0,0,0,0,0,0,0,0
|
| 15 |
+
TIME,2,0,1,0,0,4,0,0,0,0,0,2,0,76,0,0,2,0,0,0,0
|
| 16 |
+
MONEY,0,0,1,0,0,0,0,0,1,0,0,0,0,0,37,1,0,1,0,1,0
|
| 17 |
+
CURR,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,40,0,0,0,0,0
|
| 18 |
+
LANGUAGE,1,0,0,1,2,0,0,0,0,0,0,0,0,1,0,0,28,0,0,0,0
|
| 19 |
+
PERCENT,0,0,0,0,0,0,0,0,3,0,0,0,0,0,1,0,0,27,0,0,0
|
| 20 |
+
PRODUCT,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,18,0,0
|
| 21 |
+
QUANTITY,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,0
|
| 22 |
+
UNIT,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11
|
numbers_for_paper/metrics/latest/test/confusion_matrix.png
ADDED
|
Git LFS Details
|