---
license: mit
tags:
- generated_from_trainer
datasets:
- lmflow_instruction
base_model: EleutherAI/gpt-neo-2.7B
model-index:
- name: 046_inst-tuning_model-gpt_neo2.7B_num-epoch-5_init-lr-2e-5_bf-16_blocksize768
  results: []
---

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# 046_inst-tuning_model-gpt_neo2.7B_num-epoch-5_init-lr-2e-5_bf-16_blocksize768

This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on the lmflow_instruction 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2