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distilbert-base-uncased-distilled-clinc

Text Classification
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PyTorch
distilbert
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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: 0.9487096774193549
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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
@@ -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: 0.2573
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- - Accuracy: 0.9487
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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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- | 2.4269 | 1.0 | 318 | 1.7650 | 0.7465 |
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- | 1.3713 | 2.0 | 636 | 0.9151 | 0.8645 |
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- | 0.7375 | 3.0 | 954 | 0.5308 | 0.9161 |
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- | 0.4403 | 4.0 | 1272 | 0.3740 | 0.9332 |
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- | 0.3071 | 5.0 | 1590 | 0.3101 | 0.9445 |
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- | 0.2442 | 6.0 | 1908 | 0.2835 | 0.9471 |
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- | 0.2133 | 7.0 | 2226 | 0.2690 | 0.9465 |
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- | 0.1972 | 8.0 | 2544 | 0.2616 | 0.9487 |
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- | 0.1884 | 9.0 | 2862 | 0.2592 | 0.9487 |
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- | 0.184 | 10.0 | 3180 | 0.2573 | 0.9487 |
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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: 0.9483870967741935
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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: 0.2675
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+ - Accuracy: 0.9484
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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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+ | 2.2332 | 1.0 | 318 | 1.5779 | 0.7303 |
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+ | 1.2209 | 2.0 | 636 | 0.7940 | 0.8603 |
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+ | 0.6485 | 3.0 | 954 | 0.4679 | 0.9135 |
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+ | 0.3987 | 4.0 | 1272 | 0.3480 | 0.9326 |
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+ | 0.2964 | 5.0 | 1590 | 0.3043 | 0.9442 |
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+ | 0.2522 | 6.0 | 1908 | 0.2863 | 0.9461 |
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+ | 0.2304 | 7.0 | 2226 | 0.2762 | 0.9468 |
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+ | 0.2193 | 8.0 | 2544 | 0.2708 | 0.9468 |
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+ | 0.2129 | 9.0 | 2862 | 0.2689 | 0.9477 |
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+ | 0.2097 | 10.0 | 3180 | 0.2675 | 0.9484 |
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  ### Framework versions