Add training_results.json
Browse files- training_results.json +130 -0
training_results.json
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{
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"model": "TinyBert-CNN",
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"hyperparameters": {
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"batch_size": 16,
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"epochs": 20,
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"bert_lr": 2e-05,
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"head_lr": 0.001,
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"weight_decay": 0.01,
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"max_length": 128,
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"patience": 5,
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"label_smoothing": 0.1
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},
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"training_duration_seconds": 212.44,
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"epochs_trained": 7,
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"metrics": {
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"accuracy": 0.996,
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"f1_score": 0.996,
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"precision": 0.996,
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"recall": 0.996,
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"test_loss": 0.0691
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},
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"per_class_metrics": {
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"On-Topic Question": {
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"precision": 0.9934,
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"recall": 0.9967,
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"f1_score": 0.995,
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"support": 300
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},
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"Off-Topic Question": {
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"precision": 0.9967,
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"recall": 0.9933,
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"f1_score": 0.995,
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"support": 300
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},
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"Emotional-State": {
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"precision": 0.9934,
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"recall": 1.0,
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"f1_score": 0.9967,
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"support": 300
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},
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"Pace-Related": {
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"precision": 0.9967,
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"recall": 0.9933,
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"f1_score": 0.995,
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"support": 300
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},
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"Repeat/clarification": {
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"precision": 1.0,
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"recall": 0.9967,
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"f1_score": 0.9983,
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"support": 300
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}
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},
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"confusion_matrix": [
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[
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299,
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1,
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],
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[
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1,
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],
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[
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300,
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],
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[
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[
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]
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],
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"training_history": {
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"train_loss": [
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1.0757,
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0.5031,
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0.4618,
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0.4458,
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0.4364,
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0.4299,
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0.4253
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],
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"val_loss": [
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0.1182,
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0.055,
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0.0643,
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0.0578,
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0.0628,
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0.0615,
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0.0599
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],
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"val_acc": [
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0.9853,
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0.996,
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0.9947,
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0.9967,
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0.9953,
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0.9993,
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0.998
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],
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"val_f1": [
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0.9853,
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0.996,
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0.9947,
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0.9967,
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0.9953,
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0.9993,
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0.998
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]
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},
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"classification_report": " precision recall f1-score support\n\n On-Topic Question 0.99 1.00 1.00 300\n Off-Topic Question 1.00 0.99 0.99 300\n Emotional-State 0.99 1.00 1.00 300\n Pace-Related 1.00 0.99 0.99 300\nRepeat/clarification 1.00 1.00 1.00 300\n\n accuracy 1.00 1500\n macro avg 1.00 1.00 1.00 1500\n weighted avg 1.00 1.00 1.00 1500\n"
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}
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