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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: loha_fine_tuned_rte_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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# loha_fine_tuned_rte_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: 3.0980 |
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- Accuracy: 0.6207 |
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- F1: 0.6090 |
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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: 0.003 |
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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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| 0.8165 | 1.7241 | 50 | 0.7174 | 0.4828 | 0.3781 | |
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| 0.7386 | 3.4483 | 100 | 0.6616 | 0.6897 | 0.6523 | |
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| 0.7293 | 5.1724 | 150 | 0.7683 | 0.5172 | 0.4660 | |
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| 0.6773 | 6.8966 | 200 | 1.1129 | 0.4483 | 0.4324 | |
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| 0.4623 | 8.6207 | 250 | 1.7863 | 0.5862 | 0.5892 | |
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| 0.2532 | 10.3448 | 300 | 2.8440 | 0.5862 | 0.5483 | |
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| 0.0813 | 12.0690 | 350 | 3.0842 | 0.5517 | 0.5484 | |
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| 0.0478 | 13.7931 | 400 | 3.0980 | 0.6207 | 0.6090 | |
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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 2.1.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
