---
base_model: llama2/Llama-2-7b-hf
tags:
- generated_from_trainer
datasets:
- customized
model-index:
- name: llama2-science-7b-824
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama2-science-7b-824

This model is a fine-tuned version of [llama2/Llama-2-7b-hf](https://huggingface.co//mnt/workspace/workgroup/hanxiao/llama2/Llama-2-7b-hf) on the customized 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: 1e-05
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 24
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.3