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Llama-3-8B-sft-qlora

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metadata
base_model: meta-llama/Meta-Llama-3-8B
datasets:
  - HuggingFaceH4/ultrachat_200k
library_name: peft
license: llama3
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Llama-3-8b-sft-qlora
    results: []

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Llama-3-8b-sft-qlora

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2007

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.20.0
  • Tokenizers 0.19.1