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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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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. models-new/model.safetensors +1 -1
  4. models-new/training_args.bin +1 -1
  5. runs/Jan28_17-38-52_aift-review-classification-multiple-label/events.out.tfevents.1706463543.aift-review-classification-multiple-label.3216312.0 +3 -0
  6. runs/Jan28_17-38-52_aift-review-classification-multiple-label/events.out.tfevents.1706464241.aift-review-classification-multiple-label.3216312.1 +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: 2.8099
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- - Accuracy Thresh: 0.9389
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  ## Model description
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@@ -46,18 +46,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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- |:-------------:|:-----:|:-----:|:---------------:|:---------------:|
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- | 1.013 | 1.0 | 1121 | 0.8706 | 0.8527 |
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- | 0.7474 | 2.0 | 2242 | 0.9198 | 0.8885 |
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- | 0.5693 | 3.0 | 3363 | 1.2180 | 0.9040 |
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- | 0.448 | 4.0 | 4484 | 1.5461 | 0.9203 |
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- | 0.3883 | 5.0 | 5605 | 1.9372 | 0.9284 |
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- | 0.3248 | 6.0 | 6726 | 2.1342 | 0.9339 |
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- | 0.3198 | 7.0 | 7847 | 2.4260 | 0.9375 |
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- | 0.2834 | 8.0 | 8968 | 2.7269 | 0.9374 |
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- | 0.2551 | 9.0 | 10089 | 2.7301 | 0.9395 |
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- | 0.2022 | 10.0 | 11210 | 2.8099 | 0.9389 |
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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: 2.4463
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+ - Accuracy Thresh: 0.9341
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  ## Model description
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  ### Training results
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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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