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--- |
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library_name: transformers |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: xlm-roberta-large |
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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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# xlm-roberta-large |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1663 |
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- Accuracy: 0.9515 |
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- Precision: 0.9446 |
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- Recall: 0.9515 |
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- F1: 0.9429 |
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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: 44 |
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- eval_batch_size: 44 |
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- seed: 42 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| No log | 1.0 | 137 | 0.1615 | 0.954 | 0.9494 | 0.954 | 0.9463 | |
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| No log | 2.0 | 274 | 0.1538 | 0.9515 | 0.9453 | 0.9515 | 0.9456 | |
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| No log | 3.0 | 411 | 0.1840 | 0.95 | 0.9440 | 0.95 | 0.9454 | |
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| 0.1742 | 4.0 | 548 | 0.2269 | 0.9465 | 0.9435 | 0.9465 | 0.9448 | |
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| 0.1742 | 5.0 | 685 | 0.2550 | 0.949 | 0.9434 | 0.949 | 0.9450 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 3.0.1 |
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- Tokenizers 0.21.0 |
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