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  1. README.md +8 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3404
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- - Accuracy: 0.9211
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- - F1: 0.9211
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.3773 | 1.0 | 313 | 0.2647 | 0.9105 | 0.9105 |
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- | 0.2003 | 2.0 | 626 | 0.2471 | 0.9180 | 0.9179 |
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- | 0.1147 | 3.0 | 939 | 0.2914 | 0.9187 | 0.9186 |
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- | 0.0607 | 4.0 | 1252 | 0.3286 | 0.9196 | 0.9195 |
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- | 0.0307 | 5.0 | 1565 | 0.3404 | 0.9211 | 0.9211 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3264
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+ - Accuracy: 0.9232
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+ - F1: 0.9231
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.3752 | 1.0 | 313 | 0.2758 | 0.9075 | 0.9074 |
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+ | 0.2 | 2.0 | 626 | 0.2431 | 0.92 | 0.9199 |
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+ | 0.1164 | 3.0 | 939 | 0.2867 | 0.9184 | 0.9185 |
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+ | 0.0614 | 4.0 | 1252 | 0.3144 | 0.9203 | 0.9202 |
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+ | 0.032 | 5.0 | 1565 | 0.3264 | 0.9232 | 0.9231 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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