---
tags:
- generated_from_keras_callback
model-index:
- name: salvadoran-news-summarization
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# salvadoran-news-summarization

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.7213
- Train Accuracy: 0.4517
- Validation Loss: 2.1308
- Validation Accuracy: 0.4258
- Epoch: 2

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 2.4914     | 0.3736         | 2.3061          | 0.3997              | 0     |
| 2.0334     | 0.4175         | 2.1634          | 0.4181              | 1     |
| 1.7213     | 0.4517         | 2.1308          | 0.4258              | 2     |


### Framework versions

- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.7.1
- Tokenizers 0.13.2