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V2_20230929-6-xlm-roberta-base-new

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xlm-roberta
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End of training

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  1. README.md +12 -11
  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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Accuracy: 0.4183
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- - Loss: 3.4964
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  ## Model description
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@@ -49,15 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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  |:-------------:|:-----:|:----:|:--------:|:---------------:|
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- | 4.3785 | 1.54 | 200 | 0.2622 | 4.1686 |
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- | 3.8265 | 3.08 | 400 | 0.336 | 3.6697 |
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- | 3.4892 | 4.62 | 600 | 0.3426 | 3.8816 |
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- | 3.3618 | 6.15 | 800 | 0.3592 | 3.6181 |
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- | 3.1619 | 7.69 | 1000 | 0.3608 | 3.9672 |
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- | 2.9658 | 9.23 | 1200 | 0.3667 | 3.7066 |
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- | 2.9424 | 10.77 | 1400 | 0.3961 | 3.5705 |
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- | 2.8291 | 12.31 | 1600 | 0.388 | 3.2341 |
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- | 2.8447 | 13.85 | 1800 | 0.4183 | 3.4964 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.4553
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+ - Loss: 2.9349
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  ## Model description
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  | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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  |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 4.4437 | 1.38 | 200 | 0.2667 | 4.2562 |
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+ | 3.9303 | 2.76 | 400 | 0.3571 | 3.6777 |
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+ | 3.5316 | 4.14 | 600 | 0.3904 | 3.5382 |
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+ | 3.2553 | 5.52 | 800 | 0.4615 | 3.1063 |
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+ | 3.1387 | 6.9 | 1000 | 0.4494 | 2.9509 |
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+ | 3.0595 | 8.28 | 1200 | 0.4506 | 2.9728 |
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+ | 2.9643 | 9.66 | 1400 | 0.4380 | 2.8324 |
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+ | 2.8917 | 11.03 | 1600 | 0.4667 | 2.8319 |
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+ | 2.8581 | 12.41 | 1800 | 0.4681 | 2.9051 |
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+ | 2.8575 | 13.79 | 2000 | 0.4553 | 2.9349 |
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  ### Framework versions
pytorch_model.bin CHANGED
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