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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_11dec_10i_v2 |
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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_11dec_10i_v2 |
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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: 0.0084 |
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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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| 0.1857 | 1.0 | 4851 | 0.1083 | |
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| 0.0995 | 2.0 | 9702 | 0.0634 | |
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| 0.0712 | 3.0 | 14553 | 0.0371 | |
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| 0.0417 | 4.0 | 19404 | 0.0304 | |
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| 0.0203 | 5.0 | 24255 | 0.0206 | |
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| 0.0096 | 6.0 | 29106 | 0.0126 | |
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| 0.0165 | 7.0 | 33957 | 0.0128 | |
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| 0.0 | 8.0 | 38808 | 0.0141 | |
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| 0.0092 | 9.0 | 43659 | 0.0179 | |
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| 0.0005 | 10.0 | 48510 | 0.0084 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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