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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 +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_16-47-21_aift-review-classification-multiple-label/events.out.tfevents.1706460462.aift-review-classification-multiple-label.3208851.0 +3 -0
  6. runs/Jan28_16-47-21_aift-review-classification-multiple-label/events.out.tfevents.1706461347.aift-review-classification-multiple-label.3208851.1 +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: 2.6219
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- - Accuracy Thresh: 0.9394
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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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- | 1.0382 | 1.0 | 1117 | 0.8749 | 0.8385 |
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- | 0.7924 | 2.0 | 2234 | 0.9227 | 0.8872 |
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- | 0.577 | 3.0 | 3351 | 1.0330 | 0.9018 |
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- | 0.4808 | 4.0 | 4468 | 1.5019 | 0.9216 |
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- | 0.3928 | 5.0 | 5585 | 1.5877 | 0.9250 |
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- | 0.3569 | 6.0 | 6702 | 1.9525 | 0.9316 |
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- | 0.3086 | 7.0 | 7819 | 2.0074 | 0.9308 |
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- | 0.2512 | 8.0 | 8936 | 2.3945 | 0.9361 |
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- | 0.2249 | 9.0 | 10053 | 2.6052 | 0.9385 |
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- | 0.242 | 10.0 | 11170 | 2.6219 | 0.9394 |
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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: 2.8099
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+ - Accuracy Thresh: 0.9389
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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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+ | 1.013 | 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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