---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2_oasst2_curated
  results: []
datasets:
- sablo/oasst2_curated
language:
- en
pipeline_tag: conversational
widget:
- text: "Who is the president of the United States?"
- text: "Hi, my name is Superman. How are you!" 
- text: "Do you know the history of Chelsea Football Club?"
inference:
  parameters:
   temperature: 0.7
   max_length: 128
   top_k: 1
   do_sample: True
   pad_token_id: 50256
   eos_token_id: 50256
---

<!-- 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. -->

# gpt2_oasst2_curated

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated) dataset

## Model description

For experimental purpose - chatbot

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0