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End of training

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  1. README.md +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5565
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- - Accuracy: 0.6981
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  ## Model description
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@@ -49,16 +49,16 @@ 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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- | No log | 1.0 | 8 | 0.6892 | 0.6981 |
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- | No log | 2.0 | 16 | 0.5771 | 0.6981 |
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- | No log | 3.0 | 24 | 0.5698 | 0.6981 |
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- | No log | 4.0 | 32 | 0.5714 | 0.6981 |
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- | No log | 5.0 | 40 | 0.5835 | 0.6981 |
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- | No log | 6.0 | 48 | 0.5631 | 0.6981 |
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- | No log | 7.0 | 56 | 0.5678 | 0.6981 |
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- | No log | 8.0 | 64 | 0.5646 | 0.6981 |
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- | No log | 9.0 | 72 | 0.5539 | 0.6981 |
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- | No log | 10.0 | 80 | 0.5565 | 0.6981 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2035
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+ - Accuracy: 0.3793
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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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+ | No log | 1.0 | 9 | 1.1601 | 0.2069 |
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+ | No log | 2.0 | 18 | 1.1652 | 0.6897 |
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+ | No log | 3.0 | 27 | 1.2258 | 0.5172 |
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+ | No log | 4.0 | 36 | 1.1743 | 0.5172 |
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+ | No log | 5.0 | 45 | 1.1581 | 0.4138 |
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+ | No log | 6.0 | 54 | 1.1796 | 0.5 |
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+ | No log | 7.0 | 63 | 1.2110 | 0.4655 |
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+ | No log | 8.0 | 72 | 1.1973 | 0.3793 |
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+ | No log | 9.0 | 81 | 1.1851 | 0.3621 |
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+ | No log | 10.0 | 90 | 1.2035 | 0.3793 |
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  ### Framework versions
pytorch_model.bin CHANGED
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