transformers.js onnx gpt2 text-generation generated_from_trainer conversational en dataset:sablo/oasst2_curated base_model:gpt2 license:mit region:us
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2_oasst2_curated
  results: []
datasets:
- sablo/oasst2_curated
language:
- en
pipeline_tag: text-generation
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:
    max_length: 128
    penalty_alpha: 0.6
    top_k: 6
    pad_token_id: 50256
    eos_token_id: 50256
library_name: transformers.js
---

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# gpt2_oasst2_curated_onnx

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 4.33.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0
- optimum 1.13.2
- onnx 1.13.1
- onnxruntime 1.15.1