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PMC_LLAMA2_7B_trainer_lora

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PMC_LLAMA2_7B_trainer_lora / README.md
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: chaoyi-wu/PMC_LLAMA_7B
model-index:
  - name: PMC_LLAMA2_7B_trainer_lora
    results: []

Visualize in Weights & Biases

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: 2
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 768
  • total_eval_batch_size: 96
  • 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