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meta-llama/CodeLlama-7b-Instruct-hf-FaVe-rank32-1epochs-v2
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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