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End of training
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metadata
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: material_cpt_parsing_3epochs
    results: []

material_cpt_parsing_3epochs

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the parsingmaterial 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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3.0

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.45.2
  • Pytorch 2.5.0
  • Datasets 3.0.1
  • Tokenizers 0.20.1