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README.md
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name: clinc_oos
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type: clinc_oos
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config: plus
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split:
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args: plus
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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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### Framework versions
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- Transformers 4.
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- Pytorch 1.13.
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- Datasets 2.
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- Tokenizers 0.13.2
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name: clinc_oos
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type: clinc_oos
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config: plus
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split: validation
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args: plus
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9496774193548387
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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: 0.2961
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- Accuracy: 0.9497
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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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| 3.0996 | 1.0 | 318 | 2.2986 | 0.7529 |
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| 1.7705 | 2.0 | 636 | 1.1762 | 0.8635 |
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| 0.9169 | 3.0 | 954 | 0.6479 | 0.9197 |
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| 0.5201 | 4.0 | 1272 | 0.4447 | 0.9358 |
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| 0.3452 | 5.0 | 1590 | 0.3640 | 0.9445 |
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| 0.2659 | 6.0 | 1908 | 0.3303 | 0.9455 |
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| 0.2245 | 7.0 | 2226 | 0.3105 | 0.9497 |
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| 0.2018 | 8.0 | 2544 | 0.3026 | 0.9487 |
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| 0.1896 | 9.0 | 2862 | 0.2987 | 0.9484 |
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| 0.1849 | 10.0 | 3180 | 0.2961 | 0.9497 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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