Retrain: best of 4 seeds (seed=43). Critical F1 0.667 -> 0.699, precision 0.558 -> 0.604, recall held at 0.829. Overall test_f1 0.6746 -> 0.7225.
Browse files- model.safetensors +1 -1
- training_metrics.json +63 -0
model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 433273844
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version https://git-lfs.github.com/spec/v1
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oid sha256:dad2d8e04c8d0f593e94ac3c2c60e89232c469b9353ea10dbdcebba763febd98
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size 433273844
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training_metrics.json
ADDED
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@@ -0,0 +1,63 @@
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{
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"val_accuracy": 0.7163323782234957,
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"val_f1": 0.7164684618134102,
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"test_accuracy": 0.721030042918455,
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"test_f1": 0.7224861241536514,
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"per_class": {
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"routine": {
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"precision": 0.8181818181818182,
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"recall": 0.6847826086956522,
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"f1": 0.7455621301775148,
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"support": 92.0
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},
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"urgent": {
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"precision": 0.7037037037037037,
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"recall": 0.7169811320754716,
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"f1": 0.7102803738317757,
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"support": 106.0
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},
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"critical": {
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"precision": 0.6041666666666666,
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"recall": 0.8285714285714286,
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"f1": 0.6987951807228916,
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"support": 35.0
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}
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},
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"confusion_matrix": [
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[
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63,
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27,
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2
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],
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[
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13,
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76,
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17
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],
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[
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1,
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5,
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29
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]
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],
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"history": [
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{
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"epoch": 1,
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"loss": 1.0609124373952183,
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"accuracy": 0.46131805157593125,
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"f1": 0.40200806524703003
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},
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{
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"epoch": 2,
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"loss": 0.8183450294197152,
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"accuracy": 0.6561604584527221,
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"f1": 0.6575859526544696
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},
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{
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| 57 |
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"epoch": 3,
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| 58 |
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"loss": 0.5840665084232978,
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| 59 |
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"accuracy": 0.7163323782234957,
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| 60 |
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"f1": 0.7164684618134102
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}
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]
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}
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