tf t5 generated_from_keras_callback base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 region:us
---
base_model: google-t5/t5-small
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Lightscale/aap_summarization_model_2
  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. -->

# Lightscale/aap_summarization_model_2

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.1794
- Validation Loss: 2.4275
- Train Rouge1: 0.1955
- Train Rouge2: 0.0846
- Train Rougel: 0.1599
- Train Rougelsum: 0.1594
- Train Gen Len: 19.0
- Epoch: 2

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.4805     | 2.6430          | 0.1829       | 0.0809       | 0.1503       | 0.1504          | 19.0          | 0     |
| 3.2576     | 2.5024          | 0.1955       | 0.0846       | 0.1599       | 0.1594          | 19.0          | 1     |
| 3.1794     | 2.4275          | 0.1955       | 0.0846       | 0.1599       | 0.1594          | 19.0          | 2     |


### Framework versions

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