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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: prompt_fine_tuned_CB_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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# prompt_fine_tuned_CB_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: 1.4733 |
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- Accuracy: 0.3182 |
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- F1: 0.1536 |
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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: 1 |
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- eval_batch_size: 1 |
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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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| 0.9542 | 0.4545 | 50 | 1.1060 | 0.3182 | 0.1536 | |
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| 0.8627 | 0.9091 | 100 | 1.1621 | 0.3182 | 0.1536 | |
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| 0.6647 | 1.3636 | 150 | 1.2304 | 0.3182 | 0.1536 | |
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| 0.8065 | 1.8182 | 200 | 1.3215 | 0.3182 | 0.1536 | |
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| 0.7675 | 2.2727 | 250 | 1.3718 | 0.3182 | 0.1536 | |
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| 0.8203 | 2.7273 | 300 | 1.4238 | 0.3182 | 0.1536 | |
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| 0.7817 | 3.1818 | 350 | 1.4576 | 0.3182 | 0.1536 | |
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| 0.7012 | 3.6364 | 400 | 1.4733 | 0.3182 | 0.1536 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
