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metadata
license: llama2
base_model: codellama/CodeLlama-7b-Instruct-hf
tags:
  - generated_from_trainer
model-index:
  - name: codellama-7b-sft-lora-func-names
    results: []

codellama-7b-sft-lora-func-names

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

  • Loss: 0.7084

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: 4e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 900

Training results

Training Loss Epoch Step Validation Loss
0.7541 0.01 180 0.7222
0.7126 0.01 360 0.7118
0.7342 0.02 540 0.7100
0.7216 0.03 720 0.7083
0.7171 0.04 900 0.7084

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.1