---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: aknaraya/summarization_fine_tune_bbc_summary
  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. -->

# aknaraya/summarization_fine_tune_bbc_summary

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: 0.5873
- Validation Loss: 0.3274
- Train Lr: 2e-05
- Epoch: 9

## 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 |
|:----------:|:---------------:|:--------:|:-----:|
| 0.7762     | 0.4048          | 2e-05    | 0     |
| 0.7113     | 0.3899          | 2e-05    | 1     |
| 0.6596     | 0.3765          | 2e-05    | 2     |
| 0.6524     | 0.3654          | 2e-05    | 3     |
| 0.6652     | 0.3553          | 2e-05    | 4     |
| 0.6315     | 0.3476          | 2e-05    | 5     |
| 0.5763     | 0.3411          | 2e-05    | 6     |
| 0.5952     | 0.3358          | 2e-05    | 7     |
| 0.5940     | 0.3309          | 2e-05    | 8     |
| 0.5873     | 0.3274          | 2e-05    | 9     |


### Framework versions

- Transformers 4.41.0
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1