---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: enron_gpt2_model_part2
  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. -->

# enron_gpt2_model_part2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0151

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2615        | 1.0   | 336  | 3.1207          |
| 3.0509        | 2.0   | 672  | 3.0693          |
| 2.9441        | 3.0   | 1008 | 3.0389          |
| 2.8636        | 4.0   | 1344 | 3.0271          |
| 2.799         | 5.0   | 1680 | 3.0160          |
| 2.7472        | 6.0   | 2016 | 3.0125          |
| 2.706         | 7.0   | 2352 | 3.0108          |
| 2.674         | 8.0   | 2688 | 3.0141          |
| 2.651         | 9.0   | 3024 | 3.0126          |
| 2.6361        | 10.0  | 3360 | 3.0151          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3