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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetune_deberta_small_model
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This model is a fine-tuned version of [
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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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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8021406727828746
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetune_deberta_small_model
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This model is a fine-tuned version of [nc33/finetune_deberta_small_model](https://huggingface.co/nc33/finetune_deberta_small_model) on the super_glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6788
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- Accuracy: 0.8021
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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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| 0.3666 | 1.0 | 590 | 0.5625 | 0.8003 |
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| 0.2501 | 2.0 | 1180 | 0.6762 | 0.7976 |
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| 0.2343 | 3.0 | 1770 | 0.6788 | 0.8021 |
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### Framework versions
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