aift-model-review-multiple-label-classification
Browse files- README.md +11 -11
- model.safetensors +1 -1
- runs/Jan31_03-45-32_aift-review-classification-multiple-label/events.out.tfevents.1706672741.aift-review-classification-multiple-label.12663.0 +3 -0
- runs/Jan31_03-45-32_aift-review-classification-multiple-label/events.out.tfevents.1706673102.aift-review-classification-multiple-label.12663.1 +3 -0
- 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: 1.
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- Accuracy Thresh: 0.9324
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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| No log | 1.0 | 407 | 1.
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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: 1.7250
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- Accuracy Thresh: 0.9324
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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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| No log | 1.0 | 407 | 1.1155 | 0.8054 |
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| 2.1876 | 2.0 | 814 | 0.8882 | 0.8200 |
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| 0.8836 | 3.0 | 1221 | 0.8841 | 0.8763 |
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| 0.6407 | 4.0 | 1628 | 1.0921 | 0.9124 |
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| 0.4595 | 5.0 | 2035 | 1.0602 | 0.9132 |
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| 0.4595 | 6.0 | 2442 | 1.4590 | 0.9227 |
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| 0.3532 | 7.0 | 2849 | 1.6123 | 0.9256 |
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| 0.2784 | 8.0 | 3256 | 1.5713 | 0.9279 |
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| 0.2401 | 9.0 | 3663 | 1.7793 | 0.9337 |
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| 0.1886 | 10.0 | 4070 | 1.7250 | 0.9324 |
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### Framework versions
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model.safetensors
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runs/Jan31_03-45-32_aift-review-classification-multiple-label/events.out.tfevents.1706672741.aift-review-classification-multiple-label.12663.0
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