Cielciel/aift-model-review-multiple-label-classification_new
Browse files- README.md +12 -12
- model.safetensors +1 -1
- models-new/model.safetensors +1 -1
- models-new/tokenizer.json +1 -6
- models-new/training_args.bin +1 -1
- runs/Jan29_02-10-42_aift-review-classification-multiple-label/events.out.tfevents.1706494254.aift-review-classification-multiple-label.3221508.3 +3 -0
- runs/Jan29_02-10-42_aift-review-classification-multiple-label/events.out.tfevents.1706494944.aift-review-classification-multiple-label.3221508.4 +3 -0
- tokenizer.json +1 -6
- training_args.bin +1 -1
README.md
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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:
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- Accuracy Thresh: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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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: 2.2623
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- Accuracy Thresh: 0.9380
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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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| 1.6787 | 1.0 | 845 | 0.8456 | 0.8252 |
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| 0.749 | 2.0 | 1690 | 0.8447 | 0.8887 |
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| 0.5849 | 3.0 | 2535 | 0.9489 | 0.8968 |
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| 0.4312 | 4.0 | 3380 | 1.1496 | 0.9084 |
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| 0.3469 | 5.0 | 4225 | 1.4157 | 0.9260 |
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| 0.2633 | 6.0 | 5070 | 1.8314 | 0.9277 |
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| 0.2498 | 7.0 | 5915 | 1.9466 | 0.9355 |
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| 0.1782 | 8.0 | 6760 | 1.9609 | 0.9336 |
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| 0.1763 | 9.0 | 7605 | 2.2429 | 0.9350 |
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| 0.1489 | 10.0 | 8450 | 2.2623 | 0.9380 |
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### Framework versions
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model.safetensors
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