musab1blaser/llama_3_2_inst_neo

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neo

This model is a fine-tuned version of AlphaAnas70/pruned_llama-3.2-3b-Instruct-20_per on the alpacaendemo 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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 8
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1.0

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.48.3
• —Pytorch 2.7.1+cu126
• —Datasets 3.2.0
• —Tokenizers 0.21.0