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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_25march_5i |
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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_25march_5i |
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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: 0.0191 |
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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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| 0.2245 | 1.0 | 6084 | 0.0987 | |
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| 0.0738 | 2.0 | 12168 | 0.0736 | |
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| 0.0565 | 3.0 | 18252 | 0.0489 | |
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| 0.0362 | 4.0 | 24336 | 0.0465 | |
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| 0.0225 | 5.0 | 30420 | 0.0284 | |
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| 0.0189 | 6.0 | 36504 | 0.0350 | |
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| 0.0174 | 7.0 | 42588 | 0.0210 | |
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| 0.004 | 8.0 | 48672 | 0.0182 | |
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| 0.0048 | 9.0 | 54756 | 0.0177 | |
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| 0.0006 | 10.0 | 60840 | 0.0191 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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