---
license: mit
base_model: microsoft/DialoGPT-medium
tags:
- generated_from_trainer
model-index:
- name: DialoGPT_EmpAI_DefPrueba2
  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_EmpAI_DefPrueba2

This model is a fine-tuned version of [microsoft/DialoGPT-medium](https://huggingface.co./microsoft/DialoGPT-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6378

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.0418        | 1.0   | 3867  | 2.8011          |
| 2.6699        | 2.0   | 7734  | 2.6848          |
| 2.4795        | 3.0   | 11601 | 2.6461          |
| 2.37          | 4.0   | 15468 | 2.6378          |
| 2.3415        | 5.0   | 19335 | 2.6409          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2