README.md

metadata

license: llama2
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/CodeLlama-7b-Instruct-hf
model-index:
  - name: CodeLlama-7b-Instruct-hf-FaVe-rank32-1epochs-v2
    results: []

CodeLlama-7b-Instruct-hf-FaVe-rank32-1epochs-v2

This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4636

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.2685	10	0.9671
1.378	0.5369	20	0.5584
1.378	0.8054	30	0.4636

Framework versions

• PEFT 0.10.0
• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1