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distilbert-base-uncased-distilled-clinc

Text Classification
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PyTorch
distilbert
Generated from Trainer
Eval Results
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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: 0.9493548387096774
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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: 0.2796
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- - Accuracy: 0.9494
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  ## Model description
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@@ -61,16 +61,16 @@ 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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- | 3.4278 | 1.0 | 318 | 2.5577 | 0.7584 |
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- | 1.9696 | 2.0 | 636 | 1.3028 | 0.8655 |
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- | 1.0031 | 3.0 | 954 | 0.7016 | 0.9113 |
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- | 0.549 | 4.0 | 1272 | 0.4603 | 0.9332 |
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- | 0.3428 | 5.0 | 1590 | 0.3623 | 0.9442 |
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- | 0.2465 | 6.0 | 1908 | 0.3206 | 0.9471 |
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- | 0.1954 | 7.0 | 2226 | 0.3005 | 0.9481 |
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- | 0.1683 | 8.0 | 2544 | 0.2855 | 0.9481 |
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- | 0.154 | 9.0 | 2862 | 0.2817 | 0.9490 |
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- | 0.1468 | 10.0 | 3180 | 0.2796 | 0.9494 |
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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: 0.947741935483871
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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: 0.2830
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+ - Accuracy: 0.9477
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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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+ | 3.8723 | 1.0 | 318 | 2.8941 | 0.7461 |
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+ | 2.2155 | 2.0 | 636 | 1.4516 | 0.8613 |
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+ | 1.0985 | 3.0 | 954 | 0.7466 | 0.9152 |
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+ | 0.5635 | 4.0 | 1272 | 0.4707 | 0.9358 |
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+ | 0.3294 | 5.0 | 1590 | 0.3628 | 0.9429 |
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+ | 0.221 | 6.0 | 1908 | 0.3173 | 0.9439 |
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+ | 0.1671 | 7.0 | 2226 | 0.2968 | 0.9477 |
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+ | 0.14 | 8.0 | 2544 | 0.2876 | 0.9484 |
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+ | 0.1263 | 9.0 | 2862 | 0.2838 | 0.9471 |
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+ | 0.1189 | 10.0 | 3180 | 0.2830 | 0.9477 |
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  ### Framework versions