transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ms-16maps_nonalpha-ds
  results: []
---

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# ms-16maps_nonalpha-ds

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: 6.3569

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.6897        | 0.06  | 100  | 6.5741          |
| 6.5747        | 0.11  | 200  | 6.5529          |
| 6.5287        | 0.17  | 300  | 6.5047          |
| 6.4802        | 0.22  | 400  | 6.4695          |
| 6.4668        | 0.28  | 500  | 6.4435          |
| 6.4468        | 0.33  | 600  | 6.4283          |
| 6.4378        | 0.39  | 700  | 6.4119          |
| 6.4183        | 0.44  | 800  | 6.4043          |
| 6.4172        | 0.5   | 900  | 6.3952          |
| 6.3946        | 0.55  | 1000 | 6.3870          |
| 6.3888        | 0.61  | 1100 | 6.3795          |
| 6.3756        | 0.66  | 1200 | 6.3749          |
| 6.3738        | 0.72  | 1300 | 6.3690          |
| 6.3771        | 0.77  | 1400 | 6.3644          |
| 6.3709        | 0.83  | 1500 | 6.3600          |
| 6.3706        | 0.88  | 1600 | 6.3578          |
| 6.3652        | 0.94  | 1700 | 6.3571          |
| 6.3767        | 1.0   | 1800 | 6.3569          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
