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---
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license: mit
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: xlm-roberta-base
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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: lora_fine_tuned_copa_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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# lora_fine_tuned_copa_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: 0.6929 |
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- Accuracy: 0.59 |
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- F1: 0.5884 |
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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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| 0.6985 | 1.0 | 50 | 0.6928 | 0.57 | 0.5695 | |
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| 0.7012 | 2.0 | 100 | 0.6928 | 0.58 | 0.58 | |
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| 0.6935 | 3.0 | 150 | 0.6929 | 0.58 | 0.5790 | |
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| 0.6897 | 4.0 | 200 | 0.6929 | 0.58 | 0.5776 | |
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| 0.6973 | 5.0 | 250 | 0.6929 | 0.6 | 0.5990 | |
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| 0.6982 | 6.0 | 300 | 0.6929 | 0.59 | 0.5884 | |
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| 0.6981 | 7.0 | 350 | 0.6929 | 0.59 | 0.5884 | |
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| 0.6999 | 8.0 | 400 | 0.6929 | 0.59 | 0.5884 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.40.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
