End of training
Browse files- README.md +5 -5
- all_results.json +17 -0
- eval_results.json +12 -0
- predict_results.txt +539 -0
- train_results.json +8 -0
- trainer_state.json +156 -0
README.md
CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3207
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- Accuracy: 0.8643
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- F1: 0.7160
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- Precision: 0.7480
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- Recall: 0.6866
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## Model description
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all_results.json
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@@ -0,0 +1,17 @@
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{
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"epoch": 7.0,
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"eval_accuracy": 0.8643122676579925,
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"eval_f1": 0.7159533073929961,
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"eval_loss": 0.32070210576057434,
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"eval_precision": 0.7479674796747967,
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"eval_recall": 0.6865671641791045,
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"eval_runtime": 6.8805,
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"eval_samples": 268,
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"eval_samples_per_second": 78.193,
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"eval_steps_per_second": 1.308,
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"train_loss": 0.20290469026450095,
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"train_runtime": 601.0116,
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"train_samples": 1878,
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"train_samples_per_second": 312.473,
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"train_steps_per_second": 9.817
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}
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eval_results.json
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@@ -0,0 +1,12 @@
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{
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"epoch": 7.0,
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"eval_accuracy": 0.8643122676579925,
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"eval_f1": 0.7159533073929961,
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"eval_loss": 0.32070210576057434,
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"eval_precision": 0.7479674796747967,
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"eval_recall": 0.6865671641791045,
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"eval_runtime": 6.8805,
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"eval_samples": 268,
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"eval_samples_per_second": 78.193,
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"eval_steps_per_second": 1.308
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}
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predict_results.txt
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