---
base_model: distilgpt2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: results_fold_1
  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_fold_1

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: 2.7754

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 8.1852        | 0.2294 | 100  | 7.9486          |
| 7.07          | 0.4587 | 200  | 6.9019          |
| 5.6448        | 0.6881 | 300  | 5.0682          |
| 3.7492        | 0.9174 | 400  | 3.2875          |
| 3.0419        | 1.1468 | 500  | 2.9251          |
| 2.9063        | 1.3761 | 600  | 2.8392          |
| 2.8772        | 1.6055 | 700  | 2.7966          |
| 2.9046        | 1.8349 | 800  | 2.7754          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1