---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: mohammedbriman/t5-small-finetuned-cnn-dm
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# mohammedbriman/t5-small-finetuned-cnn-dm

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on CNN/DailyMail dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.1086
- Validation Loss: 1.0703
- Train Rouge1: 24.2706
- Train Rouge2: 11.6659
- Train Rougel: 20.0926
- Train Rougelsum: 20.1515
- Train Gen Len: 18.9998
- Epoch: 1

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.1086     | 1.0703          | 24.2706      | 11.6659      | 20.0926      | 20.1515         | 18.9998       | 1     |


### Framework versions

- Transformers 4.21.2
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1