---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: j-gc/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/News_Summarization

It achieves the following results on the evaluation set:
- Train Loss: 1.8429
- Validation Loss: 1.6616
- Train Lr: 2e-05
- Epoch: 6

## 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 |
|:----------:|:---------------:|:--------:|:-----:|
| 1.9276     | 1.6934          | 2e-05    | 0     |
| 1.8823     | 1.6807          | 2e-05    | 1     |
| 1.8644     | 1.6745          | 2e-05    | 2     |
| 1.8627     | 1.6671          | 2e-05    | 3     |
| 1.8604     | 1.6672          | 2e-05    | 4     |
| 1.8496     | 1.6631          | 2e-05    | 5     |
| 1.8429     | 1.6616          | 2e-05    | 6     |


### Framework versions

- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3