Cielciel/aift-model-review-multiple-label-classification_new
Browse files- README.md +12 -12
- model.safetensors +1 -1
- models/model.safetensors +1 -1
- models/training_args.bin +1 -1
- runs/Jan09_04-24-38_aift-review-classification-multiple-label/events.out.tfevents.1704774393.aift-review-classification-multiple-label +2 -2
- runs/Jan10_09-36-35_aift-review-classification-multiple-label/events.out.tfevents.1704879457.aift-review-classification-multiple-label +3 -0
- runs/Jan10_09-36-35_aift-review-classification-multiple-label/events.out.tfevents.1704879524.aift-review-classification-multiple-label +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: 0.
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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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|:-------------:|:-----:|:----:|:---------------:|:---------------:|
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| No log | 1.0 | 70 | 0.
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| No log | 2.0 | 140 | 0.
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| No log | 3.0 | 210 | 0.
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| No log | 4.0 | 280 | 0.
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| No log | 5.0 | 350 | 0.
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| No log | 6.0 | 420 | 0.
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| No log | 7.0 | 490 | 0.
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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: 0.1868
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- Accuracy Thresh: 0.9136
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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 | 70 | 0.4240 | 0.7800 |
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| No log | 2.0 | 140 | 0.3213 | 0.8507 |
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| No log | 3.0 | 210 | 0.2606 | 0.9021 |
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| No log | 4.0 | 280 | 0.2338 | 0.9014 |
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| No log | 5.0 | 350 | 0.2142 | 0.9100 |
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| No log | 6.0 | 420 | 0.2070 | 0.9043 |
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| No log | 7.0 | 490 | 0.1974 | 0.9136 |
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| 0.2882 | 8.0 | 560 | 0.1915 | 0.9143 |
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| 0.2882 | 9.0 | 630 | 0.1900 | 0.9136 |
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| 0.2882 | 10.0 | 700 | 0.1868 | 0.9136 |
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### Framework versions
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model.safetensors
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