---
base_model: gpt2
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: CPTGPT2
  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. -->

# CPTGPT2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6245

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 140  | 2.8133          |
| No log        | 2.0   | 280  | 2.7469          |
| No log        | 3.0   | 420  | 2.7122          |
| 2.8365        | 4.0   | 560  | 2.6884          |
| 2.8365        | 5.0   | 700  | 2.6759          |
| 2.8365        | 6.0   | 840  | 2.6615          |
| 2.8365        | 7.0   | 980  | 2.6519          |
| 2.543         | 8.0   | 1120 | 2.6480          |
| 2.543         | 9.0   | 1260 | 2.6392          |
| 2.543         | 10.0  | 1400 | 2.6332          |
| 2.402         | 11.0  | 1540 | 2.6298          |
| 2.402         | 12.0  | 1680 | 2.6257          |
| 2.402         | 13.0  | 1820 | 2.6257          |
| 2.402         | 14.0  | 1960 | 2.6266          |
| 2.3078        | 15.0  | 2100 | 2.6239          |
| 2.3078        | 16.0  | 2240 | 2.6246          |
| 2.3078        | 17.0  | 2380 | 2.6240          |
| 2.2519        | 18.0  | 2520 | 2.6252          |
| 2.2519        | 19.0  | 2660 | 2.6250          |
| 2.2519        | 20.0  | 2800 | 2.6245          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1