---
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-small-FinalFantasyDialogue
  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. -->

# DialoGPT-small-FinalFantasyDialogue

This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3930

## 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: 0.005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3955        | 1.0   | 141  | 2.8517          |
| 2.5623        | 1.99  | 282  | 2.1898          |
| 1.9315        | 3.0   | 424  | 1.7076          |
| 1.5264        | 4.0   | 565  | 1.3901          |
| 1.2892        | 4.99  | 706  | 1.1884          |
| 1.1325        | 6.0   | 848  | 1.0805          |
| 1.0404        | 7.0   | 989  | 0.9933          |
| 0.8733        | 8.0   | 1131 | 0.8070          |
| 0.6344        | 9.0   | 1272 | 0.6326          |
| 0.5047        | 9.99  | 1413 | 0.5504          |
| 0.413         | 11.0  | 1555 | 0.5021          |
| 0.3457        | 12.0  | 1696 | 0.4586          |
| 0.3049        | 12.99 | 1837 | 0.4294          |
| 0.2475        | 14.0  | 1979 | 0.4154          |
| 0.2081        | 15.0  | 2120 | 0.3943          |
| 0.1808        | 16.0  | 2262 | 0.3886          |
| 0.1601        | 17.0  | 2403 | 0.3839          |
| 0.1431        | 17.99 | 2544 | 0.3850          |
| 0.1323        | 19.0  | 2686 | 0.3843          |
| 0.1221        | 19.95 | 2820 | 0.3930          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3