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--- |
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library_name: peft |
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license: mit |
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base_model: roberta-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-large-lora-multi-class-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-multi-class-classification |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2042 |
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- Micro f1: 0.7842 |
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- Macro f1: 0.5733 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:| |
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| 0.4408 | 0.9995 | 1048 | 0.2138 | 0.7841 | 0.5624 | |
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| 0.448 | 2.0 | 2097 | 0.2127 | 0.7943 | 0.5788 | |
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| 0.446 | 2.9986 | 3144 | 0.2042 | 0.7842 | 0.5733 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
