---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: test_eli5_clm-model
  results: []
---

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# test_eli5_clm-model

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the dany0407/eli5_category dataset, as part of the HuggingFace Casual Language modelling guide.
It achieves the following results on the evaluation set:
- Loss: 3.8031

## Model description

Distil gpt2 fine-tuned on eli5 dataset

## Intended uses & limitations

exploration and re-aquainting myself with fineruning/training at home

## Training and evaluation data

dany0407/eli5_category

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9157        | 1.0   | 1325 | 3.8137          |
| 3.8203        | 2.0   | 2650 | 3.8041          |
| 3.7755        | 3.0   | 3975 | 3.8031          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1
- Datasets 4.4.1
- Tokenizers 0.22.1