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

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

This model is a fine-tuned version of [NousResearch/Nous-Hermes-Llama2-13b](https://huggingface.co/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

### Training results



### Framework versions

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