---
tags:
- generated_from_trainer
model-index:
- name: llama2-sfton-10000-bitexts-and-alpacagpt4-and-newstests17to20
  results: []
---

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# llama2-sfton-10000-bitexts-and-alpacagpt4-and-newstests17to20

This model is a fine-tuned version of [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b).

## 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: 48
- eval_batch_size: 2
- seed: 34
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 1536
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.14.6
- Tokenizers 0.13.3