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occupy1
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xlm-roberta-base-finetuned-panx-de

Token Classification
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PyTorch
xlm-roberta
Generated from Trainer
Eval Results
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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: 0.8622217174011813
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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: 0.1364
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- - F1: 0.8622
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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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- | 0.2571 | 1.0 | 525 | 0.1657 | 0.8219 |
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- | 0.1244 | 2.0 | 1050 | 0.1424 | 0.8498 |
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- | 0.0813 | 3.0 | 1575 | 0.1364 | 0.8622 |
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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: 0.8637941829358529
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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: 0.1341
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+ - F1: 0.8638
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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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+ | 0.2586 | 1.0 | 525 | 0.1510 | 0.8165 |
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+ | 0.1234 | 2.0 | 1050 | 0.1406 | 0.8487 |
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+ | 0.0798 | 3.0 | 1575 | 0.1341 | 0.8638 |
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  ### Framework versions
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