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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xlm-roberta-large-en-si-only-finetuned-sinquad-v12 |
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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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# xlm-roberta-large-en-si-only-finetuned-sinquad-v12 |
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This model is a fine-tuned version of [9wimu9/xlm-roberta-large-en-si-only](https://huggingface.co/9wimu9/xlm-roberta-large-en-si-only) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7128 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.612 | 1.0 | 93 | 0.8081 | |
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| 0.7979 | 2.0 | 186 | 0.6823 | |
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| 0.6887 | 3.0 | 279 | 0.6532 | |
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| 0.4166 | 4.0 | 372 | 0.6846 | |
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| 0.3985 | 5.0 | 465 | 0.7128 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.6.1 |
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- Tokenizers 0.12.1 |
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{'exact_match': 69.58841463414635, 'f1': 87.9274817360267} |
