---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-large-proverb-es-classification-text-out
  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-large-proverb-es-classification-text-out

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0099
- Accuracy: 98.0607
- Gen Len: 7.6282

## 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: 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 | Accuracy | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
| 0.0201        | 1.0   | 2500 | 0.0213          | 95.2782  | 7.5936  |
| 0.0046        | 2.0   | 5000 | 0.0099          | 98.0607  | 7.6282  |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.19.1