README.md

---
license: apache-2.0
base_model: tawfikgh/T5-CNN-Daily-Mail
tags:
- generated_from_keras_callback
model-index:
- name: tawfikgh/T5-CNN-Daily-Mail-30000
  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. -->

# tawfikgh/T5-CNN-Daily-Mail-30000

This model is a fine-tuned version of [tawfikgh/T5-CNN-Daily-Mail](https://huggingface.co/tawfikgh/T5-CNN-Daily-Mail) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.9838
- Train Accuracy: 0.4388
- Validation Loss: 1.7669
- Validation Accuracy: 0.4634
- Train Rouge1: 23.0643
- Train Rouge2: 9.2989
- Train Rougel: 18.6586
- Train Rougelsum: 21.4398
- Train F1: 0.9629
- Train Gen Len: 19.0
- 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': 5e-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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train F1 | Train Gen Len | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:------------:|:------------:|:------------:|:---------------:|:--------:|:-------------:|:-----:|
| 1.9838     | 0.4388         | 1.7669          | 0.4634              | 23.0643      | 9.2989       | 18.6586      | 21.4398         | 0.9629   | 19.0          | 0     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0