---
license: mit
tags:
- generated_from_trainer
datasets:
- lmflow_instruction
model-index:
- name: 044_inst-tuning_model-gpt_num-epoch-5_init-lr-2e-5_bf-16_blocksize768
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 044_inst-tuning_model-gpt_num-epoch-5_init-lr-2e-5_bf-16_blocksize768

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) 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: 64
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- 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