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distilbert-base-uncased-distilled-clinc

Text Classification Transformers PyTorch
distilbert generated_from_trainer Eval Results Inference Endpoints
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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9341935483870968
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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
@@ -32,8 +32,8 @@ 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: 0.0586
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- - Accuracy: 0.9342
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  ## Model description
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@@ -64,16 +64,16 @@ 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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- | 0.5748 | 1.0 | 318 | 0.3326 | 0.6881 |
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- | 0.2709 | 2.0 | 636 | 0.1687 | 0.8652 |
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- | 0.1649 | 3.0 | 954 | 0.1127 | 0.9152 |
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- | 0.1218 | 4.0 | 1272 | 0.0873 | 0.9219 |
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- | 0.1 | 5.0 | 1590 | 0.0744 | 0.9290 |
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- | 0.0879 | 6.0 | 1908 | 0.0673 | 0.9306 |
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- | 0.0805 | 7.0 | 2226 | 0.0631 | 0.9365 |
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- | 0.0757 | 8.0 | 2544 | 0.0607 | 0.9345 |
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- | 0.073 | 9.0 | 2862 | 0.0592 | 0.9342 |
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- | 0.0714 | 10.0 | 3180 | 0.0586 | 0.9342 |
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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: 0.9319354838709677
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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: 0.0460
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+ - Accuracy: 0.9319
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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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+ | 0.8576 | 1.0 | 318 | 0.4512 | 0.6790 |
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+ | 0.3407 | 2.0 | 636 | 0.1655 | 0.8442 |
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+ | 0.1611 | 3.0 | 954 | 0.0890 | 0.9058 |
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+ | 0.1046 | 4.0 | 1272 | 0.0665 | 0.9210 |
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+ | 0.0831 | 5.0 | 1590 | 0.0575 | 0.9255 |
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+ | 0.0727 | 6.0 | 1908 | 0.0523 | 0.9313 |
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+ | 0.0664 | 7.0 | 2226 | 0.0494 | 0.9287 |
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+ | 0.0625 | 8.0 | 2544 | 0.0475 | 0.9313 |
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+ | 0.0603 | 9.0 | 2862 | 0.0463 | 0.9310 |
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+ | 0.0589 | 10.0 | 3180 | 0.0460 | 0.9319 |
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  ### Framework versions
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