End of training
Browse files- README.md +2 -0
- all_results.json +15 -15
- eval_results.json +8 -8
- predict_results.json +3 -3
- predict_results.txt +40 -40
- runs/Jun03_14-50-36_a358b85c7679/events.out.tfevents.1717426889.a358b85c7679.152585.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +198 -198
README.md
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---
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license: mit
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base_model: indolem/indobert-base-uncased
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tags:
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---
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+
language:
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- id
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license: mit
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base_model: indolem/indobert-base-uncased
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tags:
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all_results.json
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{
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"accuracy": 0.904055390702275,
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"epoch": 20.0,
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-
"eval_accuracy": 0.
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"eval_f1": 0.
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"eval_loss": 0.
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"eval_precision": 0.
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-
"eval_recall": 0.
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-
"eval_runtime":
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"eval_samples": 399,
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-
"eval_samples_per_second":
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"eval_steps_per_second":
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"f1": 0.
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"precision": 0.
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-
"recall": 0.
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-
"train_loss": 0.
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"train_runtime":
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"train_samples": 3638,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"accuracy": 0.904055390702275,
|
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"epoch": 20.0,
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"eval_accuracy": 0.8872180451127819,
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"eval_f1": 0.8656072933585827,
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"eval_loss": 0.30540019273757935,
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"eval_precision": 0.8614399005740664,
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"eval_recall": 0.8702036733951628,
|
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"eval_runtime": 1.8192,
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"eval_samples": 399,
|
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"eval_samples_per_second": 219.323,
|
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"eval_steps_per_second": 27.484,
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"f1": 0.8864593379544456,
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"precision": 0.8807881773399014,
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"recall": 0.892913956531152,
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"train_loss": 0.21972156196344095,
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"train_runtime": 635.9425,
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"train_samples": 3638,
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"train_samples_per_second": 114.413,
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"train_steps_per_second": 3.837
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}
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eval_results.json
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{
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"epoch": 20.0,
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-
"eval_accuracy": 0.
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-
"eval_f1": 0.
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-
"eval_loss": 0.
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-
"eval_precision": 0.
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"eval_recall": 0.
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-
"eval_runtime":
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"eval_samples": 399,
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-
"eval_samples_per_second":
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"eval_steps_per_second":
|
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}
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{
|
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"epoch": 20.0,
|
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"eval_accuracy": 0.8872180451127819,
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"eval_f1": 0.8656072933585827,
|
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"eval_loss": 0.30540019273757935,
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"eval_precision": 0.8614399005740664,
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"eval_recall": 0.8702036733951628,
|
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"eval_runtime": 1.8192,
|
9 |
"eval_samples": 399,
|
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"eval_samples_per_second": 219.323,
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"eval_steps_per_second": 27.484
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}
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predict_results.json
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{
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"accuracy": 0.904055390702275,
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-
"f1": 0.
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"precision": 0.
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"recall": 0.
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}
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{
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"accuracy": 0.904055390702275,
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"f1": 0.8864593379544456,
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"precision": 0.8807881773399014,
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"recall": 0.892913956531152
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}
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predict_results.txt
CHANGED
@@ -5,7 +5,7 @@ index prediction
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