End of training
Browse files- README.md +9 -14
- all_results.json +13 -13
- eval_results.json +7 -7
- f1_scores.png +0 -0
- losses.png +0 -0
- model.safetensors +1 -1
- test_results.json +6 -6
README.md
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@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) 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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- Precision: 0.
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- Recall: 1.0
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.5672 | 7.0 | 1351 | 0.5718 | 0.7404 | 1.0 | 0.8509 |
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| 0.5639 | 8.0 | 1544 | 0.5715 | 0.7415 | 0.9956 | 0.8500 |
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| 0.5624 | 9.0 | 1737 | 0.5725 | 0.7416 | 0.9912 | 0.8485 |
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| 0.5619 | 10.0 | 1930 | 0.5715 | 0.7431 | 0.9860 | 0.8475 |
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| 0.5613 | 11.0 | 2123 | 0.5720 | 0.7422 | 0.9842 | 0.8463 |
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### Framework versions
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5881
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- Precision: 0.7395
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- Recall: 1.0
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- F1: 0.8502
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.5965 | 1.0 | 193 | 0.5881 | 0.7395 | 1.0 | 0.8502 |
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| 0.5885 | 2.0 | 386 | 0.5808 | 0.7395 | 1.0 | 0.8502 |
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| 0.5791 | 3.0 | 579 | 0.5772 | 0.7395 | 1.0 | 0.8502 |
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| 0.5751 | 4.0 | 772 | 0.5768 | 0.7395 | 1.0 | 0.8502 |
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| 0.5712 | 5.0 | 965 | 0.5726 | 0.7396 | 0.9982 | 0.8497 |
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| 0.5707 | 6.0 | 1158 | 0.5718 | 0.7398 | 0.9965 | 0.8491 |
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### Framework versions
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all_results.json
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{
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"epoch":
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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": 1.0,
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"eval_runtime": 8.
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"eval_samples_per_second":
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"eval_steps_per_second":
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"test_f1": 0.
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"test_loss": 0.
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"test_precision": 0.
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"test_recall": 1.0,
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"test_runtime": 8.
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"test_samples_per_second":
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"test_steps_per_second":
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}
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{
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"epoch": 6.0,
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"eval_f1": 0.8502235469448585,
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"eval_loss": 0.5881040692329407,
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"eval_precision": 0.7394685677252106,
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"eval_recall": 1.0,
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"eval_runtime": 8.5024,
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"eval_samples_per_second": 181.479,
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"eval_steps_per_second": 2.94,
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"test_f1": 0.8412757973733583,
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"test_loss": 0.5977824926376343,
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"test_precision": 0.7260362694300518,
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"test_recall": 1.0,
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"test_runtime": 8.6861,
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"test_samples_per_second": 177.756,
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"test_steps_per_second": 2.878
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}
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eval_results.json
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{
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"epoch":
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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": 1.0,
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"eval_runtime": 8.
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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": 6.0,
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"eval_f1": 0.8502235469448585,
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"eval_loss": 0.5881040692329407,
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"eval_precision": 0.7394685677252106,
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"eval_recall": 1.0,
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"eval_runtime": 8.5024,
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"eval_samples_per_second": 181.479,
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"eval_steps_per_second": 2.94
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}
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f1_scores.png
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losses.png
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 243126200
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version https://git-lfs.github.com/spec/v1
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size 243126200
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test_results.json
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{
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"test_f1": 0.
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"test_loss": 0.
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"test_precision": 0.
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"test_recall": 1.0,
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"test_runtime": 8.
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"test_samples_per_second":
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"test_steps_per_second":
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}
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{
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"test_f1": 0.8412757973733583,
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"test_loss": 0.5977824926376343,
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"test_precision": 0.7260362694300518,
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"test_recall": 1.0,
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"test_runtime": 8.6861,
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"test_samples_per_second": 177.756,
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"test_steps_per_second": 2.878
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}
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