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Training completed!

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.DS_Store ADDED
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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-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: 0.8083
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- - Accuracy: 0.9161
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  ## Model description
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@@ -50,16 +50,16 @@ 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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- | 4.3211 | 1.0 | 318 | 3.3248 | 0.7210 |
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- | 2.6732 | 2.0 | 636 | 1.9187 | 0.8406 |
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- | 1.5914 | 3.0 | 954 | 1.1971 | 0.8877 |
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- | 1.0497 | 4.0 | 1272 | 0.8947 | 0.9090 |
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- | 0.8283 | 5.0 | 1590 | 0.8083 | 0.9161 |
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  ### Framework versions
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- - Transformers 4.47.1
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- - Pytorch 2.5.1+cu124
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  - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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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: 0.7825
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+ - Accuracy: 0.9152
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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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+ | 4.3026 | 1.0 | 318 | 3.2852 | 0.7316 |
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+ | 2.6284 | 2.0 | 636 | 1.8741 | 0.8510 |
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+ | 1.5524 | 3.0 | 954 | 1.1640 | 0.8910 |
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+ | 1.0182 | 4.0 | 1272 | 0.8668 | 0.9106 |
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+ | 0.8045 | 5.0 | 1590 | 0.7825 | 0.9152 |
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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 3.2.0
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  - Tokenizers 0.21.0
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@@ -326,6 +326,6 @@
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  "sinusoidal_pos_embds": false,
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  }
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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