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codellma-7b

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llama
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4-bit precision
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codellama-7b
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metadata
license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
  - name: codellma-7b
    results: []

codellma-7b

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the Nan-Do/code-search-net-java dataset.

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: 0.0002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 150
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.9.1.dev0
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2