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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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metrics: |
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- accuracy |
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model-index: |
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- name: xnli_en |
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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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# xnli_en |
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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: 0.4363 |
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- Accuracy: 0.8361 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 0.5593 | 1.0 | 12272 | 0.5132 | 0.7960 | |
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| 0.5079 | 2.0 | 24544 | 0.4724 | 0.8116 | |
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| 0.4815 | 3.0 | 36816 | 0.5340 | 0.7900 | |
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| 0.4757 | 4.0 | 49088 | 0.4503 | 0.8233 | |
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| 0.4575 | 5.0 | 61360 | 0.4315 | 0.8321 | |
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| 0.4435 | 6.0 | 73632 | 0.4313 | 0.8369 | |
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| 0.4228 | 7.0 | 85904 | 0.4381 | 0.8309 | |
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| 0.4342 | 8.0 | 98176 | 0.4349 | 0.8365 | |
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| 0.4236 | 9.0 | 110448 | 0.4354 | 0.8373 | |
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| 0.4151 | 10.0 | 122720 | 0.4363 | 0.8361 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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