---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: model-v3
  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. -->

# model-v3

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0643

## 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: 0.0001372
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1268669541
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7294        | 1.0   | 39   | 3.5148          |
| 2.6148        | 2.0   | 78   | 3.5284          |
| 2.157         | 3.0   | 117  | 3.6368          |
| 2.1294        | 4.0   | 156  | 3.6644          |
| 1.9443        | 5.0   | 195  | 3.7962          |
| 1.8812        | 6.0   | 234  | 3.8349          |
| 1.6243        | 7.0   | 273  | 4.0135          |
| 1.5363        | 8.0   | 312  | 4.1426          |
| 1.3983        | 9.0   | 351  | 4.1834          |
| 1.3106        | 10.0  | 390  | 4.1304          |
| 0.9305        | 11.0  | 429  | 4.3527          |
| 1.0721        | 12.0  | 468  | 4.4012          |
| 0.8783        | 13.0  | 507  | 4.5971          |
| 0.8152        | 14.0  | 546  | 4.6419          |
| 0.6485        | 15.0  | 585  | 4.7665          |
| 0.6553        | 16.0  | 624  | 4.9744          |
| 0.5309        | 17.0  | 663  | 4.8834          |
| 0.5271        | 18.0  | 702  | 4.9749          |
| 0.4727        | 19.0  | 741  | 5.0540          |
| 0.4828        | 20.0  | 780  | 5.0643          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2