---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ds9_all
  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. -->

# ds9_all

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: 3.4600

## 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: 1.372e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 1523398255
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1261        | 13.0  | 8619  | 3.4600          |
| 1.141         | 14.0  | 9282  | 3.4634          |
| 1.1278        | 15.0  | 9945  | 3.4665          |
| 1.1183        | 16.0  | 10608 | 3.4697          |
| 1.1048        | 17.0  | 11271 | 3.4714          |
| 1.1061        | 18.0  | 11934 | 3.4752          |
| 1.1471        | 19.0  | 12597 | 3.4773          |
| 1.1402        | 20.0  | 13260 | 3.4798          |
| 1.0847        | 21.0  | 13923 | 3.4811          |
| 1.1462        | 22.0  | 14586 | 3.4841          |
| 1.1107        | 23.0  | 15249 | 3.4852          |
| 1.1192        | 24.0  | 15912 | 3.4873          |
| 1.0868        | 25.0  | 16575 | 3.4879          |
| 1.1313        | 26.0  | 17238 | 3.4898          |
| 1.1033        | 27.0  | 17901 | 3.4915          |
| 1.1578        | 28.0  | 18564 | 3.4939          |
| 1.0987        | 29.0  | 19227 | 3.4947          |
| 1.0779        | 30.0  | 19890 | 3.4972          |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 1.15.1
- Tokenizers 0.10.3