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Text Classification
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Safetensors
xlm-roberta
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End of training

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  1. README.md +5 -5
  2. model.safetensors +1 -1
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  11. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ 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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- - Loss: 0.7219
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- - Accuracy: 0.6989
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- - F1: 0.6873
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  ## Model description
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@@ -51,8 +51,8 @@ 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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- | No log | 1.0 | 115 | 0.7219 | 0.6989 | 0.6873 |
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- | No log | 2.0 | 230 | 0.7353 | 0.7103 | 0.7081 |
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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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+ - Loss: 0.4923
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+ - Accuracy: 0.8067
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+ - F1: 0.8084
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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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+ | No log | 1.0 | 188 | 0.4923 | 0.8067 | 0.8084 |
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+ | No log | 2.0 | 376 | 0.5408 | 0.8133 | 0.8128 |
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  ### Framework versions
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