---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Rocketknight1/t5-small-finetuned-xsum
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# Rocketknight1/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: 2.7172
- Validation Loss: 2.3977
- Train Rouge1: 28.7469
- Train Rouge2: 7.9005
- Train Rougel: 22.5917
- Train Rougelsum: 22.6162
- Train Gen Len: 18.875
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.7172     | 2.3977          | 28.7469      | 7.9005       | 22.5917      | 22.6162         | 18.875        | 0     |


### Framework versions

- Transformers 4.16.0.dev0
- TensorFlow 2.8.0-rc0
- Datasets 1.17.0
- Tokenizers 0.11.0