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llama_finetuned_unsupervised_full_doc

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llama_finetuned_unsupervised_full_doc / README.md
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metadata
library_name: peft
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: llama_finetuned_unsupervised_full_doc
    results: []

llama_finetuned_unsupervised_full_doc

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct 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: 1e-05
  • train_batch_size: 10
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5000
  • num_epochs: 6

Training results

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.1
  • Pytorch 1.14.0a0+410ce96
  • Datasets 3.0.2
  • Tokenizers 0.20.1