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--- |
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license: mit |
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base_model: xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: fine_tuned_boolq__XLMroberta |
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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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# fine_tuned_boolq__XLMroberta |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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: 2.9741 |
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- Accuracy: 0.6111 |
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- F1: 0.6255 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:| |
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| 0.671 | 4.1667 | 50 | 0.5406 | 0.7778 | 0.6806 | |
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| 0.4838 | 8.3333 | 100 | 0.6437 | 0.6667 | 0.6667 | |
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| 0.2531 | 12.5 | 150 | 1.1091 | 0.6667 | 0.6667 | |
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| 0.0646 | 16.6667 | 200 | 1.5667 | 0.7222 | 0.7072 | |
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| 0.0016 | 20.8333 | 250 | 2.3289 | 0.6111 | 0.6255 | |
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| 0.001 | 25.0 | 300 | 2.6698 | 0.6111 | 0.6255 | |
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| 0.0005 | 29.1667 | 350 | 2.9762 | 0.6111 | 0.6255 | |
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| 0.0005 | 33.3333 | 400 | 2.9741 | 0.6111 | 0.6255 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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