sravanthib/custom_accelerate-llama-20k-wd-warmup-same-as-nemo

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custom_accelerate-llama-20k-wd-warmup-same-as-nemo

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown 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: 0.0001
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 10
• —totaltrainbatch_size: 20
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —lrschedulerwarmup_steps: 50
• —training_steps: 1000

Training results

Framework versions

• —PEFT 0.16.0
• —Transformers 4.53.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.15.0
• —Tokenizers 0.21.2