---
license: mit
base_model: gpt2-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gpt2-large-agnews-classifier
  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-large-agnews-classifier

This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1733
- Accuracy: 0.9514

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1796        | 1.0   | 7500  | 0.1746          | 0.9436   |
| 0.0928        | 2.0   | 15000 | 0.1733          | 0.9514   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.6.0+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1