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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-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ukr-xlm-asym-lr-3e-5 |
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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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# ukr-xlm-asym-lr-3e-5 |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/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: 0.0619 |
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- F1-micro: 0.4793 |
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- F1-macro: 0.3770 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 49 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.081 | 1.0 | 124 | 0.0794 | 0.2544 | 0.0940 | |
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| 0.0788 | 2.0 | 248 | 0.0785 | 0.2621 | 0.0950 | |
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| 0.0731 | 3.0 | 372 | 0.0646 | 0.4561 | 0.3056 | |
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| 0.0601 | 4.0 | 496 | 0.0619 | 0.4793 | 0.3770 | |
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### Framework versions |
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- Transformers 4.48.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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