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krittapas
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my-clf

Text Classification
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bert
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End of training

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  1. README.md +19 -19
  2. model.safetensors +1 -1
  3. runs/Mar10_09-07-23_27919f2a7460/events.out.tfevents.1710061644.27919f2a7460.34.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2607
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- - F1: 0.5447
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- - Roc Auc: 0.7469
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- - Accuracy: 0.125
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  ## Model description
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@@ -52,21 +52,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 25 | 0.3677 | 0.0887 | 0.5410 | 0.0179 |
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- | No log | 2.0 | 50 | 0.3270 | 0.2051 | 0.5818 | 0.0179 |
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- | No log | 3.0 | 75 | 0.3060 | 0.2882 | 0.6112 | 0.0357 |
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- | No log | 4.0 | 100 | 0.2847 | 0.3697 | 0.6474 | 0.0714 |
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- | No log | 5.0 | 125 | 0.2774 | 0.4686 | 0.6890 | 0.0893 |
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- | No log | 6.0 | 150 | 0.2688 | 0.4568 | 0.6876 | 0.0893 |
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- | No log | 7.0 | 175 | 0.2636 | 0.5095 | 0.7235 | 0.1071 |
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- | No log | 8.0 | 200 | 0.2642 | 0.5208 | 0.7209 | 0.0893 |
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- | No log | 9.0 | 225 | 0.2641 | 0.5145 | 0.7303 | 0.1071 |
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- | No log | 10.0 | 250 | 0.2592 | 0.5412 | 0.7408 | 0.1071 |
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- | No log | 11.0 | 275 | 0.2622 | 0.5859 | 0.7626 | 0.125 |
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- | No log | 12.0 | 300 | 0.2598 | 0.5546 | 0.7504 | 0.125 |
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- | No log | 13.0 | 325 | 0.2593 | 0.5543 | 0.7527 | 0.125 |
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- | No log | 14.0 | 350 | 0.2605 | 0.5367 | 0.7458 | 0.125 |
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- | No log | 15.0 | 375 | 0.2607 | 0.5447 | 0.7469 | 0.125 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2340
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+ - F1: 0.5782
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+ - Roc Auc: 0.7419
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+ - Accuracy: 0.0893
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 25 | 0.3280 | 0.0550 | 0.5234 | 0.0 |
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+ | No log | 2.0 | 50 | 0.2996 | 0.1772 | 0.5693 | 0.0357 |
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+ | No log | 3.0 | 75 | 0.2790 | 0.3053 | 0.6174 | 0.0 |
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+ | No log | 4.0 | 100 | 0.2626 | 0.3905 | 0.6529 | 0.0357 |
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+ | No log | 5.0 | 125 | 0.2548 | 0.4295 | 0.6792 | 0.0536 |
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+ | No log | 6.0 | 150 | 0.2523 | 0.4727 | 0.6927 | 0.0357 |
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+ | No log | 7.0 | 175 | 0.2401 | 0.4491 | 0.6834 | 0.0536 |
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+ | No log | 8.0 | 200 | 0.2306 | 0.5225 | 0.7111 | 0.0714 |
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+ | No log | 9.0 | 225 | 0.2353 | 0.5580 | 0.7312 | 0.0714 |
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+ | No log | 10.0 | 250 | 0.2331 | 0.5763 | 0.7351 | 0.0714 |
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+ | No log | 11.0 | 275 | 0.2349 | 0.5874 | 0.7475 | 0.125 |
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+ | No log | 12.0 | 300 | 0.2310 | 0.5843 | 0.7437 | 0.0893 |
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+ | No log | 13.0 | 325 | 0.2338 | 0.5700 | 0.7354 | 0.0714 |
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+ | No log | 14.0 | 350 | 0.2334 | 0.5984 | 0.7564 | 0.1071 |
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+ | No log | 15.0 | 375 | 0.2340 | 0.5782 | 0.7419 | 0.0893 |
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  ### Framework versions
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