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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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datasets: |
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- patent-classification |
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metrics: |
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- accuracy |
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base_model: NousResearch/Llama-2-7b-hf |
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model-index: |
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- name: llama-2-7b-flash-attention2-lora-patent-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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# llama-2-7b-flash-attention2-lora-patent-classification |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the patent-classification dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5598 |
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- Accuracy: 0.436 |
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- Precision Macro: 0.4276 |
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- Recall Macro: 0.3658 |
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- F1-score Macro: 0.3707 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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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: cosine |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1-score Macro | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------:|:--------------:| |
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| 1.4059 | 1.0 | 6250 | 1.9046 | 0.3748 | 0.3815 | 0.3173 | 0.3012 | |
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| 1.1153 | 2.0 | 12500 | 1.6457 | 0.419 | 0.4162 | 0.3461 | 0.3466 | |
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| 1.0234 | 3.0 | 18750 | 1.5598 | 0.436 | 0.4276 | 0.3658 | 0.3707 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
