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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9480645161290323
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2876
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- - Accuracy: 0.9481
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  ## Model description
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@@ -63,21 +63,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 318 | 2.8922 | 0.7535 |
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- | 3.3696 | 2.0 | 636 | 1.4487 | 0.8587 |
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- | 3.3696 | 3.0 | 954 | 0.7439 | 0.9184 |
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- | 1.2447 | 4.0 | 1272 | 0.4703 | 0.9339 |
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- | 0.448 | 5.0 | 1590 | 0.3618 | 0.9442 |
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- | 0.448 | 6.0 | 1908 | 0.3217 | 0.9429 |
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- | 0.2279 | 7.0 | 2226 | 0.2996 | 0.9471 |
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- | 0.1555 | 8.0 | 2544 | 0.2931 | 0.9477 |
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- | 0.1555 | 9.0 | 2862 | 0.2906 | 0.9461 |
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- | 0.1331 | 10.0 | 3180 | 0.2876 | 0.9481 |
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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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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.93
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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: 0.0355
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+ - Accuracy: 0.93
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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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+ | 0.8155 | 1.0 | 318 | 0.4200 | 0.6729 |
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+ | 0.3168 | 2.0 | 636 | 0.1474 | 0.8532 |
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+ | 0.1459 | 3.0 | 954 | 0.0763 | 0.9013 |
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+ | 0.094 | 4.0 | 1272 | 0.0550 | 0.9171 |
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+ | 0.0732 | 5.0 | 1590 | 0.0462 | 0.9226 |
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+ | 0.0635 | 6.0 | 1908 | 0.0413 | 0.93 |
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+ | 0.0573 | 7.0 | 2226 | 0.0387 | 0.9294 |
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+ | 0.0537 | 8.0 | 2544 | 0.0369 | 0.9310 |
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+ | 0.0514 | 9.0 | 2862 | 0.0358 | 0.9319 |
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+ | 0.0504 | 10.0 | 3180 | 0.0355 | 0.93 |
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  ### Framework versions
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.3