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

# results

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: 0.4903

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 3.487         | 0.1216 | 500   | 2.7628          |
| 2.4975        | 0.2433 | 1000  | 2.2091          |
| 2.2501        | 0.3649 | 1500  | 1.8555          |
| 2.0317        | 0.4866 | 2000  | 1.6036          |
| 1.951         | 0.6082 | 2500  | 1.4196          |
| 1.8645        | 0.7298 | 3000  | 1.2600          |
| 1.7716        | 0.8515 | 3500  | 1.1290          |
| 1.7462        | 0.9731 | 4000  | 1.0334          |
| 1.6157        | 1.0946 | 4500  | 0.9300          |
| 1.5509        | 1.2163 | 5000  | 0.8553          |
| 1.5186        | 1.3379 | 5500  | 0.7855          |
| 1.4767        | 1.4596 | 6000  | 0.7299          |
| 1.4667        | 1.5812 | 6500  | 0.6972          |
| 1.481         | 1.7028 | 7000  | 0.6611          |
| 1.4245        | 1.8245 | 7500  | 0.6109          |
| 1.4017        | 1.9461 | 8000  | 0.5911          |
| 1.3376        | 2.0676 | 8500  | 0.5671          |
| 1.3276        | 2.1893 | 9000  | 0.5600          |
| 1.3228        | 2.3109 | 9500  | 0.5398          |
| 1.3184        | 2.4326 | 10000 | 0.5246          |
| 1.2939        | 2.5542 | 10500 | 0.5100          |
| 1.3121        | 2.6758 | 11000 | 0.5025          |
| 1.2904        | 2.7975 | 11500 | 0.4938          |
| 1.2743        | 2.9191 | 12000 | 0.4903          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0