---
license: apache-2.0
base_model: Rocketknight1/t5-small-finetuned-xsum
tags:
- generated_from_keras_callback
model-index:
- name: salmaafifi98/t5-small-finetuned-xsum
  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. -->

# salmaafifi98/t5-small-finetuned-xsum

This model is a fine-tuned version of [Rocketknight1/t5-small-finetuned-xsum](https://huggingface.co/Rocketknight1/t5-small-finetuned-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.5775
- Validation Loss: 2.3341
- Train Rouge1: 30.2930
- Train Rouge2: 9.1969
- Train Rougel: 24.0331
- Train Rougelsum: 24.0378
- Train Gen Len: 18.7949
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.5775     | 2.3341          | 30.2930      | 9.1969       | 24.0331      | 24.0378         | 18.7949       | 0     |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2