---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-custom-mail
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-finetuned-custom-mail

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1905

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 7    | 3.5915          |
| No log        | 2.0   | 14   | 3.4986          |
| No log        | 3.0   | 21   | 3.4418          |
| No log        | 4.0   | 28   | 3.3970          |
| No log        | 5.0   | 35   | 3.3569          |
| No log        | 6.0   | 42   | 3.3207          |
| No log        | 7.0   | 49   | 3.2972          |
| No log        | 8.0   | 56   | 3.2806          |
| No log        | 9.0   | 63   | 3.2620          |
| No log        | 10.0  | 70   | 3.2451          |
| No log        | 11.0  | 77   | 3.2302          |
| No log        | 12.0  | 84   | 3.2177          |
| No log        | 13.0  | 91   | 3.2083          |
| No log        | 14.0  | 98   | 3.2024          |
| No log        | 15.0  | 105  | 3.1984          |
| No log        | 16.0  | 112  | 3.1962          |
| No log        | 17.0  | 119  | 3.1938          |
| No log        | 18.0  | 126  | 3.1920          |
| No log        | 19.0  | 133  | 3.1913          |
| No log        | 20.0  | 140  | 3.1905          |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1