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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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metrics: |
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- precision |
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- recall |
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- accuracy |
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base_model: roberta-large |
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model-index: |
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- name: roberta-large-lora-token-classification |
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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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# roberta-large-lora-token-classification |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4772 |
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- Precision: 0.7667 |
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- Recall: 0.7573 |
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- F1-score: 0.7620 |
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- Accuracy: 0.7978 |
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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: 0.0001 |
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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: constant |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-score | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:| |
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| 0.6534 | 1.0 | 762 | 0.5813 | 0.5741 | 0.8633 | 0.6896 | 0.6678 | |
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| 0.5574 | 2.0 | 1524 | 0.6461 | 0.5373 | 0.8848 | 0.6686 | 0.6251 | |
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| 0.5534 | 3.0 | 2286 | 0.5031 | 0.6658 | 0.8264 | 0.7375 | 0.7485 | |
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| 0.5434 | 4.0 | 3048 | 0.4725 | 0.7818 | 0.7373 | 0.7589 | 0.7997 | |
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| 0.5531 | 5.0 | 3810 | 0.4772 | 0.7667 | 0.7573 | 0.7620 | 0.7978 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
