codellama-7b-instruct-hf-sft

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final_sft_CodeLlama-7b-Instruct-hf

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the efficoder dataset. It achieves the following results on the evaluation set:

• Loss: 0.3331

Model description

train on EFFIINSTRUCT_python

Intended uses & limitations

generate effective code

Training and evaluation data

train on EFFIINSTRUCT_python

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-06
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 4.0

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.2.2+cu121
• Datasets 4.8.4
• Tokenizers 0.19.1