---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: distilbert/distilgpt2
model-index:
- name: DistilGPT2-model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DistilGPT2-model

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2126

## 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: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 250

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7168        | 0.0   | 25   | 2.6101          |
| 2.652         | 0.0   | 50   | 2.5280          |
| 2.5867        | 0.0   | 75   | 2.4430          |
| 2.5081        | 0.0   | 100  | 2.3748          |
| 2.4728        | 0.0   | 125  | 2.3105          |
| 2.4563        | 0.0   | 150  | 2.2719          |
| 2.3669        | 0.01  | 175  | 2.2473          |
| 2.3839        | 0.01  | 200  | 2.2292          |
| 2.3617        | 0.01  | 225  | 2.2150          |
| 2.3729        | 0.01  | 250  | 2.2126          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 1.13.1
- Datasets 2.17.0
- Tokenizers 0.15.2