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End of training
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metadata
base_model: NousResearch/Llama-2-7b-chat-hf
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llama2-7B-finetuned-chat-guanaco
    results: []

llama2-7B-finetuned-chat-guanaco

This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown 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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.1