---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: hasan-mr/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. -->

# hasan-mr/t5-small-finetuned-xsum

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.4714
- Validation Loss: 2.3108
- Train Rouge1: 19.8577
- Train Rouge2: 9.8769
- Train Rougel: 16.9223
- Train Rougelsum: 18.4092
- Train Gen Len: 19.0
- Epoch: 3

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.7851     | 2.5023          | 15.0390      | 5.8132       | 12.5782      | 13.5865         | 19.0          | 0     |
| 2.6216     | 2.4086          | 19.5309      | 9.3236       | 16.5987      | 17.9409         | 19.0          | 1     |
| 2.5328     | 2.3538          | 19.7729      | 9.7316       | 16.9347      | 18.2866         | 19.0          | 2     |
| 2.4714     | 2.3108          | 19.8577      | 9.8769       | 16.9223      | 18.4092         | 19.0          | 3     |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1