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--- |
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library_name: transformers |
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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: gemini_chakma_roberta |
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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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# gemini_chakma_roberta |
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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: 2.2323 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.1922 | 1.0 | 205 | 3.3312 | |
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| 2.8762 | 2.0 | 410 | 3.1542 | |
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| 2.6543 | 3.0 | 615 | 3.0181 | |
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| 2.5254 | 4.0 | 820 | 2.8706 | |
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| 2.4038 | 5.0 | 1025 | 2.7951 | |
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| 2.325 | 6.0 | 1230 | 2.7440 | |
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| 2.2749 | 7.0 | 1435 | 2.6188 | |
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| 2.1967 | 8.0 | 1640 | 2.6125 | |
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| 2.1665 | 9.0 | 1845 | 2.4628 | |
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| 2.1042 | 10.0 | 2050 | 2.4725 | |
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| 2.0445 | 11.0 | 2255 | 2.3773 | |
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| 2.0271 | 12.0 | 2460 | 2.3718 | |
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| 2.0039 | 13.0 | 2665 | 2.3011 | |
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| 1.9585 | 14.0 | 2870 | 2.3232 | |
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| 1.961 | 15.0 | 3075 | 2.2512 | |
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| 1.914 | 16.0 | 3280 | 2.2426 | |
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| 1.9351 | 17.0 | 3485 | 2.2657 | |
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| 1.8987 | 18.0 | 3690 | 2.2187 | |
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| 1.8596 | 19.0 | 3895 | 2.2450 | |
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| 1.8777 | 20.0 | 4100 | 2.2323 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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