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xlm-roberta-base-fineturned-panx-de-fr

Token Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Inference Endpoints
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  1. README.md +7 -6
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
 
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  base_model: xlm-roberta-base
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  tags:
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  - generated_from_trainer
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1585
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- - F1: 0.8621
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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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- | 0.2895 | 1.0 | 715 | 0.1920 | 0.8180 |
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- | 0.1484 | 2.0 | 1430 | 0.1592 | 0.8480 |
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- | 0.0969 | 3.0 | 2145 | 0.1585 | 0.8621 |
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  ### Framework versions
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  - Transformers 4.41.2
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- - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  ---
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+ license: mit
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  base_model: xlm-roberta-base
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  tags:
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  - generated_from_trainer
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1639
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+ - F1: 0.8591
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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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+ | 0.2836 | 1.0 | 715 | 0.1859 | 0.8212 |
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+ | 0.1484 | 2.0 | 1430 | 0.1632 | 0.8487 |
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+ | 0.0953 | 3.0 | 2145 | 0.1639 | 0.8591 |
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  ### Framework versions
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  - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
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