---
base_model: distilgpt2
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: CFDistilGPT
  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. -->

# CFDistilGPT

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9080

## 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  | 3.2381          |
| No log        | 2.0   | 280  | 3.1353          |
| No log        | 3.0   | 420  | 3.0809          |
| 3.2346        | 4.0   | 560  | 3.0432          |
| 3.2346        | 5.0   | 700  | 3.0202          |
| 3.2346        | 6.0   | 840  | 2.9960          |
| 3.2346        | 7.0   | 980  | 2.9784          |
| 2.9216        | 8.0   | 1120 | 2.9666          |
| 2.9216        | 9.0   | 1260 | 2.9535          |
| 2.9216        | 10.0  | 1400 | 2.9435          |
| 2.7856        | 11.0  | 1540 | 2.9330          |
| 2.7856        | 12.0  | 1680 | 2.9253          |
| 2.7856        | 13.0  | 1820 | 2.9221          |
| 2.7856        | 14.0  | 1960 | 2.9184          |
| 2.6979        | 15.0  | 2100 | 2.9159          |
| 2.6979        | 16.0  | 2240 | 2.9133          |
| 2.6979        | 17.0  | 2380 | 2.9096          |
| 2.6479        | 18.0  | 2520 | 2.9102          |
| 2.6479        | 19.0  | 2660 | 2.9080          |
| 2.6479        | 20.0  | 2800 | 2.9080          |


### Framework versions

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