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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_31jan_10i |
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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_31jan_10i |
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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: 0.0252 |
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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: 5 |
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- eval_batch_size: 5 |
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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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| 1.6084 | 1.0 | 900 | 0.2981 | |
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| 0.3066 | 2.0 | 1800 | 0.0928 | |
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| 0.1001 | 3.0 | 2700 | 0.0803 | |
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| 0.0719 | 4.0 | 3600 | 0.0369 | |
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| 0.0595 | 5.0 | 4500 | 0.0440 | |
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| 0.0525 | 6.0 | 5400 | 0.0324 | |
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| 0.0282 | 7.0 | 6300 | 0.0287 | |
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| 0.0278 | 8.0 | 7200 | 0.0344 | |
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| 0.032 | 9.0 | 8100 | 0.0251 | |
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| 0.0198 | 10.0 | 9000 | 0.0252 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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