results_llama0.1 / README.md
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engrzulqarnain/llama2-7b-chat-0-1
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metadata
base_model: NousResearch/Llama-2-7b-chat-hf
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: results_llama0.1
    results: []

results_llama0.1

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: 0.0002
  • train_batch_size: 1
  • 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: 1

Training results

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1