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xlm-roberta-base-finetuned-panx-de

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xlm-roberta
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  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
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: 0.8606487530534567
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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: 0.1409
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- - F1: 0.8606
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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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- | 0.2572 | 1.0 | 525 | 0.1538 | 0.8187 |
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- | 0.1233 | 2.0 | 1050 | 0.1475 | 0.8492 |
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- | 0.0796 | 3.0 | 1575 | 0.1409 | 0.8606 |
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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: 0.8657241810026685
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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: 0.1338
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+ - F1: 0.8657
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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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+ | 0.257 | 1.0 | 525 | 0.1557 | 0.8218 |
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+ | 0.126 | 2.0 | 1050 | 0.1460 | 0.8521 |
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+ | 0.0827 | 3.0 | 1575 | 0.1338 | 0.8657 |
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  ### Framework versions
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