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--- |
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library_name: transformers |
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license: mit |
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base_model: FacebookAI/xlm-roberta-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: relex_pre |
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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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# relex_pre |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4173 |
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- Macro F1: 0.9040 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Macro F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.8776 | 1.0 | 1328 | 0.3809 | 0.7517 | |
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| 0.2962 | 2.0 | 2656 | 0.3053 | 0.8606 | |
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| 0.2057 | 3.0 | 3984 | 0.3026 | 0.8932 | |
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| 0.1408 | 4.0 | 5312 | 0.3286 | 0.9079 | |
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| 0.0961 | 5.0 | 6640 | 0.4013 | 0.8945 | |
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| 0.0628 | 6.0 | 7968 | 0.4145 | 0.9037 | |
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| 0.042 | 7.0 | 9296 | 0.4173 | 0.9040 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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