transformers safetensors gpt2 text-generation generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: treytinnell/english_to_syslog
  results: []
---

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# treytinnell/english_to_syslog

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: 0.3379

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 20
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4134        | 1.0   | 64   | 0.3773          |
| 0.3463        | 2.0   | 128  | 0.3702          |
| 0.2828        | 3.0   | 192  | 0.3379          |
| 0.2409        | 4.0   | 256  | 0.3691          |
| 0.2489        | 5.0   | 320  | 0.3848          |
| 0.2415        | 6.0   | 384  | 0.4059          |
| 0.1533        | 7.0   | 448  | 0.4212          |
| 0.126         | 8.0   | 512  | 0.4628          |
| 0.1514        | 9.0   | 576  | 0.4741          |
| 0.1374        | 10.0  | 640  | 0.4855          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
