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update model card README.md

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@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.944516129032258
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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
@@ -29,8 +29,8 @@ 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: 0.1536
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- - Accuracy: 0.9445
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  ## Model description
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@@ -55,22 +55,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 318 | 0.8610 | 0.7416 |
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- | 1.1164 | 2.0 | 636 | 0.4216 | 0.8748 |
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- | 1.1164 | 3.0 | 954 | 0.2494 | 0.9194 |
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- | 0.3947 | 4.0 | 1272 | 0.1940 | 0.9335 |
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- | 0.2079 | 5.0 | 1590 | 0.1747 | 0.9384 |
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- | 0.2079 | 6.0 | 1908 | 0.1645 | 0.9423 |
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- | 0.1641 | 7.0 | 2226 | 0.1591 | 0.9439 |
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- | 0.1476 | 8.0 | 2544 | 0.1561 | 0.9455 |
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- | 0.1476 | 9.0 | 2862 | 0.1542 | 0.9442 |
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- | 0.1413 | 10.0 | 3180 | 0.1536 | 0.9445 |
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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: 0.7719
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+ - Accuracy: 0.9181
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 318 | 3.2882 | 0.7426 |
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+ | 3.7861 | 2.0 | 636 | 1.8744 | 0.8381 |
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+ | 3.7861 | 3.0 | 954 | 1.1567 | 0.8958 |
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+ | 1.6922 | 4.0 | 1272 | 0.8569 | 0.9132 |
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+ | 0.9055 | 5.0 | 1590 | 0.7719 | 0.9181 |
 
 
 
 
 
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  ### Framework versions