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End of training

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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. tokenizer.json +6 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.2342
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- - Accuracy: 0.931
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  ## Model description
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@@ -50,13 +50,13 @@ 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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- | 0.2196 | 1.0 | 1563 | 0.2020 | 0.9223 |
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- | 0.1436 | 2.0 | 3126 | 0.2342 | 0.931 |
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  ### Framework versions
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  - Transformers 4.47.0
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- - Pytorch 2.5.1
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- - Datasets 3.1.0
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  - Tokenizers 0.21.0
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.2290
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+ - Accuracy: 0.9327
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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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+ | 0.2229 | 1.0 | 1563 | 0.2112 | 0.9194 |
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+ | 0.1448 | 2.0 | 3126 | 0.2290 | 0.9327 |
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  ### Framework versions
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  - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 2.21.0
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  - Tokenizers 0.21.0
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