|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: google/flan-t5-base |
|
|
tags: |
|
|
- simplification |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- bleu |
|
|
model-index: |
|
|
- name: flant5 |
|
|
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. --> |
|
|
|
|
|
# flant5 |
|
|
|
|
|
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.1632 |
|
|
- Bleu: 32.6829 |
|
|
- Gen Len: 17.6119 |
|
|
|
|
|
## Model description |
|
|
|
|
|
El modelo FLAN T5 Base es una variante del modelo de lenguaje T5 (Text-To-Text Transfer Transformer) desarrollado por Google. T5 es una arquitectura de modelo de lenguaje basada en transformers que ha demostrado un rendimiento sobresaliente en una amplia gama de tareas de procesamiento de lenguaje natural (NLP). |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
En este caso el modelo es un traductor automático que simplifica el francés. |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
Se utilizan 266 filas de la tabla como entrenamiento y 67 como test. |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 5.6e-05 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 2 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
|
|
| No log | 1.0 | 67 | 1.1644 | 32.6829 | 17.6119 | |
|
|
| No log | 2.0 | 134 | 1.1632 | 32.6829 | 17.6119 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.37.2 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.17.1 |
|
|
- Tokenizers 0.15.2 |
|
|
|