ferrazzipietro/Llama-3.1-8B-Instruct-cpt-tesi_it

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Llama-3.1-8B-Instruct-cpt-tesi_it

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct 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: 0.0002
• —trainbatchsize: 128
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 512
• —optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.3
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.4.0+cu118
• —Datasets 3.6.0
• —Tokenizers 0.22.2