Trong-Nghia commited on
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End of training

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README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6078
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- - Accuracy: 0.749
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- - F1: 0.8156
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  ## Model description
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@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6367 | 1.0 | 1502 | 0.5411 | 0.737 | 0.8133 |
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- | 0.6049 | 2.0 | 3004 | 0.5409 | 0.744 | 0.8107 |
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- | 0.55 | 3.0 | 4506 | 0.6078 | 0.749 | 0.8156 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6641
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+ - Accuracy: 0.724
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+ - F1: 0.7956
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.623 | 1.0 | 1502 | 0.5540 | 0.744 | 0.8184 |
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+ | 0.6003 | 2.0 | 3004 | 0.5512 | 0.737 | 0.8084 |
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+ | 0.5501 | 3.0 | 4506 | 0.6641 | 0.724 | 0.7956 |
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  ### Framework versions
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