hishab/titulm-llama-3.2-3b-v2.0-Instruct-v1.0

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titulm-llama-3.2-3b-v2.0-Instruct-v1.0

This model was trained from scratch 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: 1e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 4000
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 5
• —totaltrainbatch_size: 80
• —totalevalbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.01
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.48.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.2.0
• —Tokenizers 0.21.0