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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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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos 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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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9180645161290323
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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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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7720
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- Accuracy: 0.9181
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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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| 4.2896 | 1.0 | 318 | 3.2887 | 0.7419 |
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| 2.6282 | 2.0 | 636 | 1.8753 | 0.8371 |
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| 1.548 | 3.0 | 954 | 1.1570 | 0.8961 |
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| 1.0148 | 4.0 | 1272 | 0.8573 | 0.9129 |
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| 0.7952 | 5.0 | 1590 | 0.7720 | 0.9181 |
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### Framework versions
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