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Training completed!

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README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.862883087400681
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the xtreme dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1366
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- - F1: 0.8629
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  ## Model description
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@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.2598 | 1.0 | 525 | 0.1543 | 0.8132 |
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- | 0.126 | 2.0 | 1050 | 0.1382 | 0.8511 |
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- | 0.0799 | 3.0 | 1575 | 0.1366 | 0.8629 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.8625355315520182
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1345
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+ - F1: 0.8625
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.2542 | 1.0 | 525 | 0.1610 | 0.8176 |
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+ | 0.1261 | 2.0 | 1050 | 0.1459 | 0.8442 |
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+ | 0.0809 | 3.0 | 1575 | 0.1345 | 0.8625 |
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  ### Framework versions
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