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distilbert-base-uncased-finetuned-clinc

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Training completed!

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Files changed (4) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Dec26_10-52-14_kawaharatakuminoMacBook-Pro.local/events.out.tfevents.1703555535.kawaharatakuminoMacBook-Pro.local.19345.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8809677419354839
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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: 1.1593
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- - Accuracy: 0.8810
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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 | 3.5709 | 0.6345 |
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- | 4.0321 | 2.0 | 636 | 2.3041 | 0.8006 |
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- | 4.0321 | 3.0 | 954 | 1.5932 | 0.8423 |
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- | 2.1637 | 4.0 | 1272 | 1.2653 | 0.8723 |
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- | 1.382 | 5.0 | 1590 | 1.1593 | 0.8810 |
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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: 0.8903225806451613
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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: 1.0392
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+ - Accuracy: 0.8903
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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 | 3.5092 | 0.6306 |
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+ | 3.9506 | 2.0 | 636 | 2.1778 | 0.8058 |
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+ | 3.9506 | 3.0 | 954 | 1.4469 | 0.8648 |
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+ | 2.0031 | 4.0 | 1272 | 1.1542 | 0.8797 |
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+ | 1.2402 | 5.0 | 1590 | 1.0392 | 0.8903 |
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  ### Framework versions
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