---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: diemlnt-distilgpt-eli5-1.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# diemlnt-distilgpt-eli5-1.0

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the eli5_category dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7433

## 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: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 1000
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.7897        | 1.0   | 57345  | 3.7975          |
| 3.7281        | 2.0   | 114690 | 3.7734          |
| 3.6851        | 3.0   | 172035 | 3.7623          |
| 3.6543        | 4.0   | 229380 | 3.7541          |
| 3.634         | 5.0   | 286725 | 3.7513          |
| 3.6074        | 6.0   | 344070 | 3.7466          |
| 3.5965        | 7.0   | 401415 | 3.7456          |
| 3.5795        | 8.0   | 458760 | 3.7437          |
| 3.5573        | 9.0   | 516105 | 3.7433          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3