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--- |
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library_name: transformers |
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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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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: sap_predictions_model |
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results: [] |
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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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should probably proofread and complete it, then remove this comment. --> |
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# sap_predictions_model |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.3177 |
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- Accuracy: 0.1599 |
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- F1: 0.0713 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| 8.7072 | 0.6425 | 1000 | 8.5615 | 0.0156 | 0.0018 | |
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| 7.9463 | 1.2846 | 2000 | 7.8865 | 0.0445 | 0.0110 | |
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| 7.3576 | 1.9271 | 3000 | 7.2356 | 0.1019 | 0.0376 | |
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| 6.8566 | 2.5692 | 4000 | 6.7092 | 0.1424 | 0.0591 | |
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| 6.3983 | 3.2114 | 5000 | 6.3177 | 0.1599 | 0.0713 | |
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| 6.1392 | 3.8538 | 6000 | 6.0647 | 0.1756 | 0.0821 | |
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| 6.0378 | 4.4960 | 7000 | 5.9330 | 0.1819 | 0.0866 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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