---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ms-32maps_alpha-ds
  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. -->

# ms-32maps_alpha-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: 5.2522

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.4509        | 0.15  | 100  | 5.4122          |
| 5.3758        | 0.3   | 200  | 5.3142          |
| 5.3163        | 0.45  | 300  | 5.2830          |
| 5.2759        | 0.6   | 400  | 5.2686          |
| 5.2683        | 0.75  | 500  | 5.2579          |
| 5.2728        | 0.9   | 600  | 5.2522          |


### Framework versions

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