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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ 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: 0.2578
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- - F1-score: 0.8064
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  ## Model description
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@@ -48,16 +48,16 @@ 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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- | 0.2899 | 1.0 | 226 | 0.2203 | 0.6838 |
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- | 0.1197 | 2.0 | 452 | 0.1892 | 0.7766 |
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- | 0.0694 | 3.0 | 678 | 0.1919 | 0.7961 |
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- | 0.0459 | 4.0 | 904 | 0.2223 | 0.8008 |
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- | 0.0389 | 5.0 | 1130 | 0.2283 | 0.8090 |
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- | 0.0268 | 6.0 | 1356 | 0.2374 | 0.8095 |
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- | 0.0225 | 7.0 | 1582 | 0.2458 | 0.8084 |
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- | 0.0194 | 8.0 | 1808 | 0.2557 | 0.8094 |
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- | 0.017 | 9.0 | 2034 | 0.2588 | 0.8106 |
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- | 0.0163 | 10.0 | 2260 | 0.2578 | 0.8064 |
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  ### Framework versions
 
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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: 0.2645
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+ - F1-score: 0.8113
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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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+ | 0.2839 | 1.0 | 226 | 0.2148 | 0.7160 |
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+ | 0.1153 | 2.0 | 452 | 0.1899 | 0.7830 |
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+ | 0.0677 | 3.0 | 678 | 0.1942 | 0.8008 |
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+ | 0.0456 | 4.0 | 904 | 0.2249 | 0.8012 |
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+ | 0.0393 | 5.0 | 1130 | 0.2361 | 0.8077 |
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+ | 0.027 | 6.0 | 1356 | 0.2455 | 0.8120 |
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+ | 0.0226 | 7.0 | 1582 | 0.2486 | 0.8068 |
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+ | 0.0198 | 8.0 | 1808 | 0.2602 | 0.8156 |
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+ | 0.0171 | 9.0 | 2034 | 0.2640 | 0.8155 |
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+ | 0.0161 | 10.0 | 2260 | 0.2645 | 0.8113 |
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  ### Framework versions
model.safetensors CHANGED
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