---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ms-4maps_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-4maps_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: 6.0690

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3876        | 0.1   | 100  | 6.3259          |
| 6.3259        | 0.2   | 200  | 6.3044          |
| 6.3008        | 0.3   | 300  | 6.2929          |
| 6.2811        | 0.39  | 400  | 6.2448          |
| 6.2072        | 0.49  | 500  | 6.1656          |
| 6.1554        | 0.59  | 600  | 6.1266          |
| 6.1135        | 0.69  | 700  | 6.0980          |
| 6.1011        | 0.79  | 800  | 6.0825          |
| 6.0908        | 0.89  | 900  | 6.0715          |
| 6.0836        | 0.99  | 1000 | 6.0690          |


### Framework versions

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