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---
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license: apache-2.0
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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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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# EvolCodeLlama-3.1-8B-Instruct |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) using QLoRA (4-bit precision) on the [mlabonne/Evol-Instruct-Python-1k](https://huggingface.co/datasets/mlabonne/Evol-Instruct-Python-1k) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4057 |
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## Training: |
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It was trained on an **A40** for more than 1 hour using Axolotl. |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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The lose curves are as: |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
