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xlm-roberta-base-finetuned-panx-fr

Token Classification
Transformers
PyTorch
xlm-roberta
generated_from_trainer
Eval Results
Inference Endpoints
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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: 0.8472175379426645
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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: 0.2827
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- - F1: 0.8472
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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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- | 0.5561 | 1.0 | 191 | 0.3632 | 0.7653 |
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- | 0.2608 | 2.0 | 382 | 0.2838 | 0.8290 |
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- | 0.1772 | 3.0 | 573 | 0.2827 | 0.8472 |
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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: 0.8418401611820013
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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: 0.2747
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+ - F1: 0.8418
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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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+ | 0.566 | 1.0 | 191 | 0.3098 | 0.7784 |
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+ | 0.2515 | 2.0 | 382 | 0.2832 | 0.8253 |
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+ | 0.1732 | 3.0 | 573 | 0.2747 | 0.8418 |
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  ### Framework versions
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