---
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
model-index:
- name: DialoGPT_EmpAI_final2
  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_final2

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: 2.7547

## 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: 0.0001
- 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: linear
- lr_scheduler_warmup_steps: 25000
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.5766        | 1.0   | 1500  | 3.9055          |
| 3.6326        | 2.0   | 3000  | 3.3553          |
| 3.3738        | 3.0   | 4500  | 3.1776          |
| 3.2193        | 4.0   | 6000  | 3.0785          |
| 3.1067        | 5.0   | 7500  | 3.0097          |
| 3.0286        | 6.0   | 9000  | 2.9714          |
| 2.961         | 7.0   | 10500 | 2.9407          |
| 2.8925        | 8.0   | 12000 | 2.9111          |
| 2.8291        | 9.0   | 13500 | 2.8815          |
| 2.7617        | 10.0  | 15000 | 2.8577          |
| 2.7061        | 11.0  | 16500 | 2.8126          |
| 2.6515        | 12.0  | 18000 | 2.7981          |
| 2.6165        | 13.0  | 19500 | 2.7822          |
| 2.5813        | 14.0  | 21000 | 2.7689          |
| 2.5213        | 15.0  | 22500 | 2.7547          |


### Framework versions

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