---
license: mit
base_model: microsoft/DialoGPT-medium
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-medium-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-medium-FinalFantasyDialogue

This model is a fine-tuned version of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3830

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5572        | 1.0   | 282  | 2.2660          |
| 1.9013        | 2.0   | 565  | 1.7536          |
| 1.6648        | 3.0   | 847  | 1.5819          |
| 1.3933        | 4.0   | 1130 | 1.2777          |
| 0.8024        | 5.0   | 1413 | 0.8038          |
| 0.5416        | 6.0   | 1695 | 0.5897          |
| 0.3418        | 7.0   | 1978 | 0.4679          |
| 0.224         | 8.0   | 2261 | 0.4045          |
| 0.1648        | 9.0   | 2543 | 0.3789          |
| 0.1342        | 9.98  | 2820 | 0.3830          |


### Framework versions

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