---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ms-8maps_nonalpha-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-8maps_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: 6.3278

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.6062        | 0.07  | 100  | 6.5287          |
| 6.5093        | 0.14  | 200  | 6.5134          |
| 6.5097        | 0.21  | 300  | 6.5029          |
| 6.5038        | 0.28  | 400  | 6.4878          |
| 6.4771        | 0.35  | 500  | 6.4600          |
| 6.4497        | 0.43  | 600  | 6.4419          |
| 6.442         | 0.5   | 700  | 6.4238          |
| 6.4188        | 0.57  | 800  | 6.3903          |
| 6.3898        | 0.64  | 900  | 6.3687          |
| 6.3575        | 0.71  | 1000 | 6.3503          |
| 6.3414        | 0.78  | 1100 | 6.3396          |
| 6.3417        | 0.85  | 1200 | 6.3329          |
| 6.332         | 0.92  | 1300 | 6.3284          |
| 6.3404        | 0.99  | 1400 | 6.3278          |


### Framework versions

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