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End of training

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  1. README.md +6 -6
  2. model.safetensors +1 -1
README.md CHANGED
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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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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_model2
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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: 0.2333
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- - Accuracy: 0.9314
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  ## Model description
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@@ -49,8 +49,8 @@ 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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- | 0.2259 | 1.0 | 1563 | 0.2019 | 0.9213 |
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- | 0.1475 | 2.0 | 3126 | 0.2333 | 0.9314 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: distilbert/distilroberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # my_awesome_model2
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+ This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2090
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+ - Accuracy: 0.9412
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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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+ | 0.2124 | 1.0 | 1563 | 0.1654 | 0.9380 |
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+ | 0.1512 | 2.0 | 3126 | 0.2090 | 0.9412 |
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  ### Framework versions
model.safetensors CHANGED
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  size 328492280
 
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