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--- |
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library_name: peft |
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base_model: NousResearch/Llama-2-7b-hf |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: evaluation_model |
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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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# evaluation_model |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7124 |
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- Accuracy: 0.4667 |
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- Precision: 0.4577 |
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- Recall: 0.9559 |
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- F1: 0.6190 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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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 | Recall | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| No log | 0.9829 | 43 | 0.9195 | 0.5467 | 0.0 | 0.0 | 0.0 | |
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| No log | 1.9943 | 87 | 0.6833 | 0.5667 | 0.5172 | 0.6618 | 0.5806 | |
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| No log | 2.9829 | 130 | 0.6898 | 0.5267 | 0.4884 | 0.9265 | 0.6396 | |
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| 0.8708 | 3.9943 | 174 | 0.6775 | 0.5667 | 0.5149 | 0.7647 | 0.6154 | |
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| 0.8708 | 4.9371 | 215 | 0.7124 | 0.4667 | 0.4577 | 0.9559 | 0.6190 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
