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huggyllama-llama-7b-finetuned

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metadata
base_model: huggyllama/llama-7b
library_name: transformers
license: mit
tags:
  - peft
  - lora
  - dora
model-index:
  - name: llama-3-8-fine-tuned-dora
    results: []
datasets:
  - timdettmers/openassistant-guanaco
pipeline_tag: text-generation

llama-3-8-fine-tuned-dora

huggyllama

This model is a fine-tuned version of huggyllama/llama-7b on on openassistant-guanaco dataset. For LoraConfig we set the use_dora=True for the Dora decomposition and comparison with Lora.

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: 0.0003
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1