---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: flan-t5-small-proverb-es-classification-neg-trigrams-sentences
  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. -->

# flan-t5-small-proverb-es-classification-neg-trigrams-sentences

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0415
- F1: 94.7024
- Gen Len: 7.5583

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1      | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.0469        | 1.0   | 1466  | 0.0261          | 91.8196 | 7.5107  |
| 0.0247        | 2.0   | 2932  | 0.0230          | 93.6082 | 7.5334  |
| 0.018         | 3.0   | 4398  | 0.0208          | 93.6748 | 7.5418  |
| 0.0128        | 4.0   | 5864  | 0.0220          | 94.0879 | 7.5522  |
| 0.0091        | 5.0   | 7330  | 0.0274          | 94.2632 | 7.5656  |
| 0.0066        | 6.0   | 8796  | 0.0280          | 94.2282 | 7.5629  |
| 0.0049        | 7.0   | 10262 | 0.0345          | 94.6363 | 7.5491  |
| 0.0033        | 8.0   | 11728 | 0.0399          | 94.5434 | 7.5606  |
| 0.0029        | 9.0   | 13194 | 0.0412          | 94.6728 | 7.5510  |
| 0.0021        | 10.0  | 14660 | 0.0415          | 94.7024 | 7.5583  |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.19.1