mshamrai/crh-llama32-1b-qlora

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crh-llama32-1b-qlora

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the generator dataset. It achieves the following results on the evaluation set:

• —Loss: 1.7008

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: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 18
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.15.1
• —Transformers 4.47.1
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.0
• —Tokenizers 0.21.1