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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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@@ -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: 0.9487096774193549
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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
@@ -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: 0.3490
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- - Accuracy: 0.9487
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  ## Model description
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@@ -63,16 +63,16 @@ 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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- | No log | 1.0 | 318 | 2.5457 | 0.7519 |
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- | 2.9907 | 2.0 | 636 | 1.2820 | 0.8561 |
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- | 2.9907 | 3.0 | 954 | 0.6966 | 0.9123 |
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- | 1.1204 | 4.0 | 1272 | 0.4778 | 0.9339 |
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- | 0.4583 | 5.0 | 1590 | 0.4046 | 0.9439 |
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- | 0.4583 | 6.0 | 1908 | 0.3771 | 0.9435 |
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- | 0.2898 | 7.0 | 2226 | 0.3619 | 0.9474 |
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- | 0.2371 | 8.0 | 2544 | 0.3541 | 0.9471 |
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- | 0.2371 | 9.0 | 2862 | 0.3515 | 0.9484 |
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- | 0.2197 | 10.0 | 3180 | 0.3490 | 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: 0.3469
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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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+ | No log | 1.0 | 318 | 2.4602 | 0.7535 |
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+ | 2.8954 | 2.0 | 636 | 1.2412 | 0.8558 |
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+ | 2.8954 | 3.0 | 954 | 0.6810 | 0.9126 |
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+ | 1.0885 | 4.0 | 1272 | 0.4728 | 0.9335 |
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+ | 0.455 | 5.0 | 1590 | 0.4025 | 0.9439 |
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+ | 0.455 | 6.0 | 1908 | 0.3754 | 0.9439 |
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+ | 0.2936 | 7.0 | 2226 | 0.3600 | 0.9471 |
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+ | 0.2422 | 8.0 | 2544 | 0.3522 | 0.9468 |
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+ | 0.2422 | 9.0 | 2862 | 0.3493 | 0.9481 |
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+ | 0.2251 | 10.0 | 3180 | 0.3469 | 0.9484 |
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  ### Framework versions