---
license: mit
tags:
- generated_from_trainer
base_model: gpt2
model-index:
- name: ms-32maps_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-32maps_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: 5.9255

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.2444        | 0.04  | 100  | 6.1360          |
| 6.1152        | 0.08  | 200  | 6.1151          |
| 6.1139        | 0.13  | 300  | 6.0946          |
| 6.0576        | 0.17  | 400  | 6.0382          |
| 6.0133        | 0.21  | 500  | 6.0101          |
| 6.0049        | 0.25  | 600  | 5.9972          |
| 5.9919        | 0.3   | 700  | 5.9890          |
| 5.9839        | 0.34  | 800  | 5.9841          |
| 5.9875        | 0.38  | 900  | 5.9783          |
| 5.9712        | 0.42  | 1000 | 5.9717          |
| 5.9775        | 0.47  | 1100 | 5.9656          |
| 5.9668        | 0.51  | 1200 | 5.9597          |
| 5.955         | 0.55  | 1300 | 5.9553          |
| 5.9445        | 0.59  | 1400 | 5.9495          |
| 5.95          | 0.64  | 1500 | 5.9439          |
| 5.939         | 0.68  | 1600 | 5.9416          |
| 5.9345        | 0.72  | 1700 | 5.9378          |
| 5.9396        | 0.76  | 1800 | 5.9336          |
| 5.9414        | 0.8   | 1900 | 5.9303          |
| 5.9262        | 0.85  | 2000 | 5.9283          |
| 5.9365        | 0.89  | 2100 | 5.9266          |
| 5.937         | 0.93  | 2200 | 5.9258          |
| 5.9251        | 0.97  | 2300 | 5.9255          |


### Framework versions

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