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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0060
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  - F1-score: 1.0
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  ## Model description
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1265 | 1.0 | 15 | 0.5778 | 0.7931 |
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- | 0.0351 | 2.0 | 30 | 0.2322 | 0.9284 |
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- | 0.0128 | 3.0 | 45 | 0.0258 | 1.0 |
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- | 0.0029 | 4.0 | 60 | 0.0075 | 1.0 |
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- | 0.0023 | 5.0 | 75 | 0.0060 | 1.0 |
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  ### Framework versions
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- - Transformers 4.36.2
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0081
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  - F1-score: 1.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.141 | 1.0 | 15 | 0.5945 | 0.7429 |
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+ | 0.0276 | 2.0 | 30 | 0.3179 | 0.9284 |
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+ | 0.0049 | 3.0 | 45 | 0.0169 | 1.0 |
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+ | 0.0042 | 4.0 | 60 | 0.0097 | 1.0 |
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+ | 0.0025 | 5.0 | 75 | 0.0081 | 1.0 |
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  ### Framework versions
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+ - Transformers 4.39.0.dev0
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.2
config.json CHANGED
@@ -21,6 +21,6 @@
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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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  "vocab_size": 28996
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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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  "vocab_size": 28996
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  }
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