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distilbert-base-uncased-finetuned-clinc

Text Classification
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distilbert
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Files changed (3) hide show
  1. README.md +8 -8
  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: 0.9158064516129032
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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: 0.7724
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- - Accuracy: 0.9158
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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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- | 4.2924 | 1.0 | 318 | 3.2762 | 0.7284 |
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- | 2.6139 | 2.0 | 636 | 1.8624 | 0.8358 |
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- | 1.5388 | 3.0 | 954 | 1.1512 | 0.8984 |
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- | 1.0086 | 4.0 | 1272 | 0.8540 | 0.9132 |
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- | 0.7929 | 5.0 | 1590 | 0.7724 | 0.9158 |
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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: 0.9183870967741935
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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: 0.7681
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+ - Accuracy: 0.9184
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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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+ | 4.2967 | 1.0 | 318 | 3.2810 | 0.7181 |
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+ | 2.6146 | 2.0 | 636 | 1.8652 | 0.8403 |
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+ | 1.5378 | 3.0 | 954 | 1.1477 | 0.8977 |
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+ | 1.0043 | 4.0 | 1272 | 0.8491 | 0.9135 |
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+ | 0.7902 | 5.0 | 1590 | 0.7681 | 0.9184 |
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  ### Framework versions
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