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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: entex_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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# entex_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: 0.2082 |
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- F1 Macro: 0.8500 |
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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: 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 | F1 Macro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.0679 | 1.0 | 26 | 0.5775 | 0.2761 | |
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| 0.3311 | 2.0 | 52 | 0.2341 | 0.7785 | |
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| 0.186 | 3.0 | 78 | 0.2036 | 0.8220 | |
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| 0.1366 | 4.0 | 104 | 0.1852 | 0.8459 | |
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| 0.1003 | 5.0 | 130 | 0.1907 | 0.8516 | |
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| 0.0793 | 6.0 | 156 | 0.2027 | 0.8486 | |
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| 0.0668 | 7.0 | 182 | 0.2082 | 0.8500 | |
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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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