---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: finetuned-gpt2-model
  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. -->

# finetuned-gpt2-model

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: 0.2749

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 147  | 0.2728          |
| No log        | 2.0   | 294  | 0.2595          |
| No log        | 3.0   | 441  | 0.2591          |
| 0.3157        | 4.0   | 588  | 0.2594          |
| 0.3157        | 5.0   | 735  | 0.2644          |
| 0.3157        | 6.0   | 882  | 0.2648          |
| 0.2486        | 7.0   | 1029 | 0.2684          |
| 0.2486        | 8.0   | 1176 | 0.2746          |
| 0.2486        | 9.0   | 1323 | 0.2729          |
| 0.2486        | 10.0  | 1470 | 0.2749          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1