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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: meta-llama/CodeLlama-7b-Instruct-hf |
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model-index: |
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- name: CodeLlama-7b-Instruct-hf-FaVe-rank8-5epochs |
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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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# CodeLlama-7b-Instruct-hf-FaVe-rank8-5epochs |
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This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4638 |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.2685 | 10 | 2.2650 | |
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| 2.3592 | 0.5369 | 20 | 1.8415 | |
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| 2.3592 | 0.8054 | 30 | 1.2953 | |
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| 1.3051 | 1.0738 | 40 | 0.9631 | |
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| 1.3051 | 1.3423 | 50 | 0.8064 | |
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| 0.7461 | 1.6107 | 60 | 0.7283 | |
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| 0.7461 | 1.8792 | 70 | 0.6758 | |
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| 0.644 | 2.1477 | 80 | 0.6326 | |
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| 0.644 | 2.4161 | 90 | 0.6044 | |
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| 0.5419 | 2.6846 | 100 | 0.5636 | |
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| 0.5419 | 2.9530 | 110 | 0.5395 | |
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| 0.5115 | 3.2215 | 120 | 0.5215 | |
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| 0.5115 | 3.4899 | 130 | 0.5062 | |
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| 0.4647 | 3.7584 | 140 | 0.4939 | |
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| 0.4647 | 4.0268 | 150 | 0.4815 | |
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| 0.4159 | 4.2953 | 160 | 0.4705 | |
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| 0.4159 | 4.5638 | 170 | 0.4660 | |
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| 0.407 | 4.8322 | 180 | 0.4638 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
