transformers tf t5 text2text-generation generated_from_keras_callback base_model:google-t5/t5-base base_model:finetune:google-t5/t5-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: t5-base
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: text-summarization-t5-base
  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. -->

# text-summarization-t5-base

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.2480
- Validation Loss: 0.9039
- 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.2480     | 0.9039          | 0     |


### Framework versions

- Transformers 4.32.1
- TensorFlow 2.13.0
- Datasets 2.14.4
- Tokenizers 0.12.1
