haesun commited on
Commit
7707866
1 Parent(s): 517b221

Training completed!

Browse files
README.md CHANGED
@@ -1,5 +1,6 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -21,7 +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: 0.9183870967741935
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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
@@ -31,8 +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: 0.7721
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- - Accuracy: 0.9184
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  ## Model description
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@@ -63,16 +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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- | 4.2896 | 1.0 | 318 | 3.2890 | 0.7432 |
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- | 2.6284 | 2.0 | 636 | 1.8756 | 0.8377 |
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- | 1.5483 | 3.0 | 954 | 1.1572 | 0.8961 |
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- | 1.015 | 4.0 | 1272 | 0.8573 | 0.9132 |
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- | 0.7953 | 5.0 | 1590 | 0.7721 | 0.9184 |
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  ### Framework versions
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- - Transformers 4.26.1
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- - Pytorch 1.13.1+cu116
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- - Datasets 2.10.1
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- - Tokenizers 0.13.2
 
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  ---
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  license: apache-2.0
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+ base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  datasets:
 
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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
 
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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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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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