End of training
Browse files- README.md +2 -0
- all_results.json +16 -16
- eval_results.json +8 -8
- predict_results.json +4 -4
- predict_results.txt +38 -38
- runs/Jun03_12-49-09_a358b85c7679/events.out.tfevents.1717419586.a358b85c7679.87787.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +201 -201
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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"epoch": 20.0,
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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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"train_runtime":
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"train_steps_per_second":
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{
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"accuracy": 0.8961424332344213,
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"eval_accuracy": 0.8972431077694235,
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"eval_f1": 0.8781334505389722,
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"eval_loss": 0.2797949016094208,
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"eval_precision": 0.872316715542522,
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"eval_recall": 0.8847972358610656,
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"eval_runtime": 1.8194,
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"eval_samples_per_second": 219.307,
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"eval_steps_per_second": 27.482,
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"f1": 0.8761730346384224,
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"precision": 0.8730752146875925,
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"recall": 0.8794911377392057,
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"train_loss": 0.24180538537072355,
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"train_runtime": 620.8783,
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"train_samples": 3638,
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"train_samples_per_second": 117.189,
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"train_steps_per_second": 3.93
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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": 0.8972431077694235,
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"eval_f1": 0.8781334505389722,
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"eval_loss": 0.2797949016094208,
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"eval_precision": 0.872316715542522,
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"eval_recall": 0.8847972358610656,
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"eval_runtime": 1.8194,
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|
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"eval_samples_per_second": 219.307,
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"eval_steps_per_second": 27.482
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predict_results.json
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"f1": 0.
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{
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"f1": 0.8761730346384224,
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"precision": 0.8730752146875925,
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"recall": 0.8794911377392057
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}
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predict_results.txt
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index prediction
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runs/Jun03_12-49-09_a358b85c7679/events.out.tfevents.1717419586.a358b85c7679.87787.1
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