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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_26march_custom |
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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_26march_custom |
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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: 0.0130 |
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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: 8 |
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- eval_batch_size: 8 |
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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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| 0.1376 | 1.0 | 3968 | 0.1012 | |
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| 0.0825 | 2.0 | 7936 | 0.0518 | |
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| 0.9985 | 3.0 | 11904 | 0.0451 | |
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| 0.0379 | 4.0 | 15872 | 0.0324 | |
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| 0.0281 | 5.0 | 19840 | 0.0253 | |
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| 0.0096 | 6.0 | 23808 | 0.0204 | |
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| 0.0062 | 7.0 | 27776 | 0.0147 | |
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| 0.0072 | 8.0 | 31744 | 0.0106 | |
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| 0.0013 | 9.0 | 35712 | 0.0129 | |
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| 0.0002 | 10.0 | 39680 | 0.0130 | |
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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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