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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Ohm-version3 |
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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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# Ohm-version3 |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/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: 0.3029 |
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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: 1e-05 |
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- train_batch_size: 8 |
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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 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4956 | 1.0 | 443 | 0.3774 | |
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| 0.2915 | 2.0 | 886 | 0.3666 | |
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| 0.1777 | 3.0 | 1329 | 0.3342 | |
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| 0.1012 | 4.0 | 1772 | 0.4155 | |
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| 0.1026 | 5.0 | 2215 | 0.3799 | |
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| 0.002 | 6.0 | 2658 | 0.3568 | |
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| 0.1367 | 7.0 | 3101 | 0.2850 | |
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| 0.1257 | 8.0 | 3544 | 0.3441 | |
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| 0.0136 | 9.0 | 3987 | 0.2987 | |
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| 0.1336 | 10.0 | 4430 | 0.3029 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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