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 +264 -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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) 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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.4359
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- Accuracy: 0.8513
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- F1: 0.7386
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- Precision: 0.6570
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- Recall: 0.8433
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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": 13.0,
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"eval_accuracy": 0.8513011152416357,
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"eval_f1": 0.7385620915032679,
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"eval_loss": 0.43591225147247314,
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"eval_precision": 0.6569767441860465,
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"eval_recall": 0.8432835820895522,
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"eval_runtime": 2.1114,
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"eval_samples": 268,
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"eval_samples_per_second": 254.812,
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"eval_steps_per_second": 4.263,
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"train_loss": 0.2951739639471221,
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"train_runtime": 432.0494,
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"train_samples": 1878,
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"train_samples_per_second": 434.673,
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"train_steps_per_second": 13.656
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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": 13.0,
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"eval_accuracy": 0.8513011152416357,
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"eval_f1": 0.7385620915032679,
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"eval_loss": 0.43591225147247314,
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"eval_precision": 0.6569767441860465,
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"eval_recall": 0.8432835820895522,
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"eval_runtime": 2.1114,
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"eval_samples": 268,
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"eval_samples_per_second": 254.812,
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"eval_steps_per_second": 4.263
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}
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predict_results.txt
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