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metadata
license: mit
base_model: NousResearch/Nous-Hermes-Llama2-13b
tags:
  - generated_from_trainer
model-index:
  - name: ZeroShot-Llama2-13B-weni-loss-experiment
    results: []

ZeroShot-Llama2-13B-weni-loss-experiment

This model is a fine-tuned version of NousResearch/Nous-Hermes-Llama2-13b 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: 0.0004
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 3500

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.13.0
  • Tokenizers 0.13.3