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aift-model-review-multiple-label-classification

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Cielciel/aift-model-review-multiple-label-classification_new

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Files changed (7) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. models-new/model.safetensors +1 -1
  4. models-new/training_args.bin +1 -1
  5. runs/Jan28_17-56-26_aift-review-classification-multiple-label/events.out.tfevents.1706464597.aift-review-classification-multiple-label.3221508.0 +3 -0
  6. runs/Jan28_17-56-26_aift-review-classification-multiple-label/events.out.tfevents.1706465282.aift-review-classification-multiple-label.3221508.1 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4463
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- - Accuracy Thresh: 0.9341
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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- | 1.9127 | 1.0 | 851 | 0.9906 | 0.8086 |
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- | 0.8577 | 2.0 | 1702 | 1.0184 | 0.8701 |
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- | 0.6468 | 3.0 | 2553 | 1.0851 | 0.8901 |
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- | 0.494 | 4.0 | 3404 | 1.2894 | 0.9122 |
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- | 0.3875 | 5.0 | 4255 | 1.6629 | 0.9232 |
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- | 0.3422 | 6.0 | 5106 | 1.7630 | 0.9212 |
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- | 0.3121 | 7.0 | 5957 | 1.9873 | 0.9274 |
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- | 0.283 | 8.0 | 6808 | 2.3035 | 0.9328 |
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- | 0.2385 | 9.0 | 7659 | 2.4651 | 0.9338 |
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- | 0.1973 | 10.0 | 8510 | 2.4463 | 0.9341 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1205
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+ - Accuracy Thresh: 0.9375
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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+ | 1.695 | 1.0 | 845 | 0.8376 | 0.8418 |
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+ | 0.7598 | 2.0 | 1690 | 0.7916 | 0.8924 |
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+ | 0.5826 | 3.0 | 2535 | 1.0440 | 0.9126 |
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+ | 0.4576 | 4.0 | 3380 | 1.0830 | 0.9183 |
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+ | 0.349 | 5.0 | 4225 | 1.3902 | 0.9267 |
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+ | 0.2715 | 6.0 | 5070 | 1.7734 | 0.9334 |
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+ | 0.2481 | 7.0 | 5915 | 1.8575 | 0.9352 |
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+ | 0.1899 | 8.0 | 6760 | 1.8420 | 0.9355 |
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+ | 0.1741 | 9.0 | 7605 | 2.1318 | 0.9378 |
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+ | 0.1633 | 10.0 | 8450 | 2.1205 | 0.9375 |
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  ### Framework versions
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