README.md

---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- Emotional
- Assistant
- Emotional Support
- chatbot
model-index:
- name: checkpoint-41_9k-lr5em5-bs15n5_r64LA128dt01_2811
  results: []
license: mit
language:
- es
datasets:
- BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses
- >-
  BrunoGR/HRECPW-Hispanic_Responses_for_Emotional_Classification_based_on_Plutchik_Wheel
library_name: peft
pipeline_tag: text-generation
---

# Sólo Escúchame: PEFT Adapter

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on [BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses](https://huggingface.co/datasets/BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses).
It achieves the following results on the evaluation set:
- Loss: 0.8265

## Model Description

Sólo Escúchame is an emotional accompaniment chatbot designed to provide psychological support in Spanish. This model, built upon the LLaMA-2-7b-Chat architecture, has been fine-tuned to deliver empathetic responses tailored to users' emotional states.

## Intended Uses & Limitations

This model is intended for use in providing emotional support and companionship. It is not a substitute for professional mental health services. Users should be aware of its limitations in handling severe psychological conditions and emergencies.

## Training and Evaluation Data

The model was trained using the "BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses" dataset, which includes diverse emotional responses to simulate a wide range of psychological support scenarios.

## Training Procedure

### Training Hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 5
- eval_batch_size: 8
- seed: 1
- gradient_accumulation_steps: 3
- total_train_batch_size: 15
- optimizer: Adam with betas=(0.9,0.95) and epsilon=2e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 3

LoRA Parameters:
- r: 64
- Alpha: 128
- LoRA_DROPOUT: 0.1
- bias: "none"
- task_type: "CAUSAL_LM"
- LoRA_TARGET_MODULES = ["q_proj", "v_proj"]

### Training Results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7717        | 0.16  | 450  | 0.9065          |
| 0.7716        | 0.32  | 900  | 0.8863          |
| 0.7856        | 0.48  | 1350 | 0.8679          |
| 0.7463        | 0.64  | 1800 | 0.8602          |
| 0.7298        | 0.81  | 2250 | 0.8531          |
| 0.7426        | 0.97  | 2700 | 0.8415          |
| 0.6991        | 1.13  | 3150 | 0.8425          |
| 0.6923        | 1.29  | 3600 | 0.8382          |
| 0.6917        | 1.45  | 4050 | 0.8361          |
| 0.6681        | 1.61  | 4500 | 0.8328          |
| 0.6764        | 1.77  | 4950 | 0.8297          |
| 0.6684        | 1.93  | 5400 | 0.8275          |
| 0.6395        | 2.09  | 5850 | 0.8268          |
| 0.6735        | 2.25  | 6300 | 0.8272          |
| 0.6416        | 2.42  | 6750 | 0.8275          |
| 0.651         | 2.58  | 7200 | 0.8265          |
| 0.6514        | 2.74  | 7650 | 0.8265          |
| 0.6535        | 2.9   | 8100 | 0.8265          |

### Framework Versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- torch: 2.1.1
- trl: 0.7.5
- tokenizers: 0.15.0
- peft: 0.7.0
- evaluate: 0.4.1
- accelerate: 0.25.0
- seaborn: 0.13.0

## License

Sólo Escúchame is released under the MIT License.

## Citation

If you use this Adapter in your research, please cite the following paper:

```bibtex
@misc{ramírez2024soloescuchamespanishemotional,
      title={S\'olo Esc\'uchame: Spanish Emotional Accompaniment Chatbot}, 
      author={Bruno Gil Ramírez and Jessica López Espejel and María del Carmen Santiago Díaz and Gustavo Trinidad Rubín Linares},
      year={2024},
      eprint={2408.01852},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2408.01852}, 
}
```

## Contact

For any questions or inquiries, please contact:

- Bruno Gil Ramírez: bruno.gilram@gmail.com