transformers onnx bart text2text-generation generated_from_trainer summarization license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
pipeline_tag: summarization
tags:
- generated_from_trainer
model-index:
- name: bart-large-cnn-samsum-ChatGPT_v3
  results: []
---

[Qiliang/bart-large-cnn-samsum-ChatGPT_v3](https://huggingface.co/Qiliang/bart-large-cnn-samsum-ChatGPT_v3) converted to ONNX and quantized using optimum.

---

# bart-large-cnn-samsum-ChatGPT_v3

This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on an unknown 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.2