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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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model-index: |
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- name: rap_phase2_MODEL2_22jan_15i |
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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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# rap_phase2_MODEL2_22jan_15i |
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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: 0.0245 |
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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: 6 |
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- eval_batch_size: 6 |
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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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| 1.5023 | 1.0 | 990 | 0.2146 | |
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| 0.1764 | 2.0 | 1980 | 0.0279 | |
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| 0.1017 | 3.0 | 2970 | 0.0540 | |
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| 0.1148 | 4.0 | 3960 | 0.0332 | |
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| 0.0769 | 5.0 | 4950 | 0.1151 | |
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| 0.0564 | 6.0 | 5940 | 0.0497 | |
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| 0.0606 | 7.0 | 6930 | 0.0357 | |
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| 0.0219 | 8.0 | 7920 | 0.0250 | |
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| 0.023 | 9.0 | 8910 | 0.0252 | |
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| 0.0223 | 10.0 | 9900 | 0.0245 | |
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### Framework versions |
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- Transformers 4.37.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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