---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: priecar/TFG-summarization-2-epoch
  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. -->

# priecar/TFG-summarization-2-epoch

This model is a fine-tuned version of [priecar/TFG-summarization-1-epoch](https://huggingface.co/priecar/TFG-summarization-1-epoch) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.7384
- Validation Loss: 1.9394
- Train Rouge1: 19.6164
- Train Rouge2: 9.4083
- Train Rougel: 17.1886
- Train Rougelsum: 18.0354
- Train Gen Len: 18.9899
- Epoch: 0

## 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 | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.7384     | 1.9394          | 19.6164      | 9.4083       | 17.1886      | 18.0354         | 18.9899       | 0     |


### Framework versions

- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.0
- Tokenizers 0.13.2