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llama-2-qlora-finetuned

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metadata
base_model: meta-llama/Llama-2-7b-hf
library_name: peft
license: llama2
tags:
  - generated_from_trainer
model-index:
  - name: llama-2-qlora-finetuned
    results: []

llama-2-qlora-finetuned

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8009

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 1 2.9311
No log 2.0 2 2.8476
No log 3.0 3 2.8009

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.0
  • Pytorch 2.4.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.20.1