---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: j-gc/T5-BASE_Model_News_Summarization
  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. -->

# j-gc/T5-BASE_Model_News_Summarization

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: 1.4340
- Validation Loss: 1.2628
- Train Lr: 2e-05
- 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 Lr | Epoch |
|:----------:|:---------------:|:--------:|:-----:|
| 1.4772     | 1.2804          | 2e-05    | 0     |
| 1.4433     | 1.2744          | 2e-05    | 1     |
| 1.4417     | 1.2696          | 2e-05    | 2     |
| 1.4340     | 1.2628          | 2e-05    | 3     |


### Framework versions

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