meta-llama-Llama-3.1-8B-full-finetune-wapo

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None 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: 4.6875e-08
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 4
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 16
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.0
• Pytorch 2.3.1
• Datasets 3.2.0
• Tokenizers 0.19.1