---
tags:
- generated_from_keras_callback
model-index:
- name: transformers-t5-small-summ-peeyush-latest
  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. -->

# transformers-t5-small-summ-peeyush-latest

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.4234
- Validation Loss: 2.6485
- Train Rouge1: 12.5598
- Train Rouge2: 3.8614
- Train Rougel: 10.1903
- Train Rougelsum: 11.1253
- 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': 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.4234     | 2.6485          | 12.5598      | 3.8614       | 10.1903      | 11.1253         | 19.0          | 0     |


### Framework versions

- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1