---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: EmailSubjectLineGeneration
  results: []
---

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

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0510

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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3971        | 0.14  | 1000 | 3.2552          |
| 3.319         | 0.28  | 2000 | 3.1699          |
| 3.2276        | 0.42  | 3000 | 3.1263          |
| 3.1392        | 0.55  | 4000 | 3.1027          |
| 3.1896        | 0.69  | 5000 | 3.0755          |
| 3.1603        | 0.83  | 6000 | 3.0630          |
| 3.1791        | 0.97  | 7000 | 3.0510          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0