---
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
model-index:
- name: DialoGPT_EmpAI_smallPrueba2
  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_smallPrueba2

This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7999

## 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-05
- 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_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 483  | 3.5303          |
| 5.2957        | 2.0   | 967  | 3.1013          |
| 3.4534        | 3.0   | 1450 | 2.9551          |
| 3.1442        | 4.0   | 1934 | 2.8904          |
| 3.0052        | 5.0   | 2417 | 2.8491          |
| 2.9176        | 6.0   | 2901 | 2.8253          |
| 2.8624        | 7.0   | 3384 | 2.8110          |
| 2.8284        | 8.0   | 3868 | 2.8027          |
| 2.8079        | 9.0   | 4351 | 2.8005          |
| 2.8005        | 9.99  | 4830 | 2.7999          |


### Framework versions

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