---
library_name: transformers
license: mit
base_model: gavin124/gpt2-finetuned-cnn-summarization-v2
tags:
- generated_from_trainer
model-index:
- name: GPT2-Model-Large-Dataset-Psycho
  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. -->

# GPT2-Model-Large-Dataset-Psycho

This model is a fine-tuned version of [gavin124/gpt2-finetuned-cnn-summarization-v2](https://huggingface.co/gavin124/gpt2-finetuned-cnn-summarization-v2) on the None 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: 8
- seed: 42
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1