rvind2508/codellama-7b-learning_rate2e-4

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codellama-7b-learning_rate2e-4

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

• —Loss: 1.2270

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
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.05
• —training_steps: 100

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.3.0
• —Pytorch 2.5.1+cu121
• —Datasets 4.7.0
• —Tokenizers 0.22.2