---
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: 0.0711
- F1: 93.9739
- Gen Len: 2.5591

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1      | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.1323        | 1.0   | 1466 | 0.0928          | 90.9839 | 2.6044  |
| 0.0707        | 2.0   | 2932 | 0.0711          | 93.9739 | 2.5591  |


### Framework versions

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