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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: 1.
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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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- Transformers 4.16.2
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- Pytorch 1.12.1
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- Datasets 1.16.1
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- Tokenizers 0.
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8296774193548387
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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: 1.7989
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- Accuracy: 0.8297
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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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| 3.8176 | 1.0 | 318 | 3.0133 | 0.7242 |
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| 2.5793 | 2.0 | 636 | 2.0807 | 0.8058 |
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| 1.9738 | 3.0 | 954 | 1.7989 | 0.8297 |
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### Framework versions
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- Transformers 4.16.2
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- Pytorch 1.12.1
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- Datasets 1.16.1
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- Tokenizers 0.15.2
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