---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: prft1
  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. -->

# prft1

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0107

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 0.0498          |
| No log        | 2.0   | 2    | 0.0476          |
| No log        | 3.0   | 3    | 0.0462          |
| No log        | 4.0   | 4    | 0.0447          |
| No log        | 5.0   | 5    | 0.0433          |
| No log        | 6.0   | 6    | 0.0417          |
| No log        | 7.0   | 7    | 0.0402          |
| No log        | 8.0   | 8    | 0.0386          |
| No log        | 9.0   | 9    | 0.0372          |
| No log        | 10.0  | 10   | 0.0358          |
| No log        | 11.0  | 11   | 0.0345          |
| No log        | 12.0  | 12   | 0.0332          |
| No log        | 13.0  | 13   | 0.0319          |
| No log        | 14.0  | 14   | 0.0306          |
| No log        | 15.0  | 15   | 0.0293          |
| No log        | 16.0  | 16   | 0.0281          |
| No log        | 17.0  | 17   | 0.0269          |
| No log        | 18.0  | 18   | 0.0258          |
| No log        | 19.0  | 19   | 0.0247          |
| No log        | 20.0  | 20   | 0.0238          |
| No log        | 21.0  | 21   | 0.0228          |
| No log        | 22.0  | 22   | 0.0219          |
| No log        | 23.0  | 23   | 0.0210          |
| No log        | 24.0  | 24   | 0.0202          |
| No log        | 25.0  | 25   | 0.0194          |
| No log        | 26.0  | 26   | 0.0187          |
| No log        | 27.0  | 27   | 0.0179          |
| No log        | 28.0  | 28   | 0.0172          |
| No log        | 29.0  | 29   | 0.0166          |
| No log        | 30.0  | 30   | 0.0160          |
| No log        | 31.0  | 31   | 0.0154          |
| No log        | 32.0  | 32   | 0.0149          |
| No log        | 33.0  | 33   | 0.0144          |
| No log        | 34.0  | 34   | 0.0140          |
| No log        | 35.0  | 35   | 0.0136          |
| No log        | 36.0  | 36   | 0.0132          |
| No log        | 37.0  | 37   | 0.0128          |
| No log        | 38.0  | 38   | 0.0125          |
| No log        | 39.0  | 39   | 0.0122          |
| No log        | 40.0  | 40   | 0.0120          |
| No log        | 41.0  | 41   | 0.0117          |
| No log        | 42.0  | 42   | 0.0115          |
| No log        | 43.0  | 43   | 0.0113          |
| No log        | 44.0  | 44   | 0.0111          |
| No log        | 45.0  | 45   | 0.0110          |
| No log        | 46.0  | 46   | 0.0109          |
| No log        | 47.0  | 47   | 0.0108          |
| No log        | 48.0  | 48   | 0.0107          |
| No log        | 49.0  | 49   | 0.0107          |
| No log        | 50.0  | 50   | 0.0107          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2