PMC_LLAMA2_7B_trainer_lora

This model is a fine-tuned version of chaoyi-wu/PMC_LLAMA_7B 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: 2e-05
• train_batch_size: 48
• eval_batch_size: 48
• seed: 123
• distributed_type: multi-GPU
• num_devices: 3
• gradient_accumulation_steps: 8
• total_train_batch_size: 1152
• total_eval_batch_size: 144
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.11.2.dev0
• Transformers 4.42.0.dev0
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.19.1