test_model_new_22
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README.md
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) 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: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 209 | 0.
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### Framework versions
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6526
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- Accuracy: 0.7191
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 209 | 0.6526 | 0.7191 |
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### Framework versions
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runs/Apr22_17-10-32_flycatch-Modern-15-B11M/events.out.tfevents.1713786221.flycatch-Modern-15-B11M.15454.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:308a21a306b6ef7765413de3f24c43047f55e815c87d2c6d45503a88a326847f
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size 411
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