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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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metrics: |
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- f1 |
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model-index: |
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- name: xlm-roberta-large-sdg-classification |
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results: [] |
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datasets: |
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- albertmartinez/OSDG |
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pipeline_tag: text-classification |
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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-sdg-classification |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6536 |
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- F1: 0.8114 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 600 |
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- num_epochs: 5.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | F1 | Validation Loss | |
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|:-------------:|:-----:|:----:|:------:|:---------------:| |
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| 1.7444 | 1.0 | 538 | 0.7686 | 0.8148 | |
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| 0.7749 | 2.0 | 1076 | 0.8000 | 0.7104 | |
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| 0.6165 | 3.0 | 1614 | 0.8114 | 0.6536 | |
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| 0.5044 | 4.0 | 2152 | 0.8140 | 0.6571 | |
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| 0.4217 | 5.0 | 2690 | 0.8154 | 0.6651 | |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.1.2.post304 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
