---
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-trigramas-oraciones-trigramas
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-large-proverb-es-classification-trigramas-oraciones-trigramas

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: 0.0420
- Accuracy: 96.9509
- Gen Len: 2.6699

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
| 0.075         | 1.0   | 7500  | 0.0460          | 96.4772  | 2.6906  |
| 0.0219        | 2.0   | 15000 | 0.0420          | 96.9509  | 2.6699  |


### Framework versions

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