---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: gpt-model-mesa-ayuda
  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. -->

# gpt-model-mesa-ayuda

This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3306
- Accuracy: 0.9095
- F1: 0.9072
- Precision: 0.9081
- Recall: 0.9095

## 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: 5e-05
- train_batch_size: 22
- eval_batch_size: 22
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.123         | 1.0   | 4351  | 0.9982          | 0.7162   | 0.6951 | 0.7123    | 0.7162 |
| 0.6193        | 2.0   | 8702  | 0.5621          | 0.8358   | 0.8311 | 0.8372    | 0.8358 |
| 0.3522        | 3.0   | 13053 | 0.4282          | 0.8774   | 0.8738 | 0.8758    | 0.8774 |
| 0.2747        | 4.0   | 17404 | 0.3633          | 0.8986   | 0.8959 | 0.8970    | 0.8986 |
| 0.1707        | 5.0   | 21755 | 0.3306          | 0.9095   | 0.9072 | 0.9081    | 0.9095 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2