update model card README.md
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README.md
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dataset:
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name: clinc_oos
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type: clinc_oos
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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 1.12.0+cu113
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- Datasets 1.16.1
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- Tokenizers 0.
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dataset:
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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: train
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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: 0.9487096774193549
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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: 0.2773
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- Accuracy: 0.9487
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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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| 4.1605 | 1.0 | 318 | 3.1094 | 0.7532 |
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| 2.3647 | 2.0 | 636 | 1.5376 | 0.8574 |
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| 1.1472 | 3.0 | 954 | 0.7664 | 0.9155 |
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| 0.5639 | 4.0 | 1272 | 0.4662 | 0.9326 |
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| 0.3079 | 5.0 | 1590 | 0.3482 | 0.9448 |
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| 0.1954 | 6.0 | 1908 | 0.3063 | 0.9448 |
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| 0.141 | 7.0 | 2226 | 0.2850 | 0.9477 |
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| 0.1148 | 8.0 | 2544 | 0.2808 | 0.9477 |
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| 0.1021 | 9.0 | 2862 | 0.2798 | 0.9477 |
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| 0.0975 | 10.0 | 3180 | 0.2773 | 0.9487 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.0+cu113
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- Datasets 1.16.1
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- Tokenizers 0.12.1
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