---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: arthd24/wanderwise_summary_1
  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. -->

# arthd24/wanderwise_summary_1

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: 0.7830
- Validation Loss: 0.6959
- Train Rouge1: 0.353
- Train Rouge2: 0.2719
- Train Rougel: 0.335
- Train Rougelsum: 0.3351
- Train Gen Len: 19.0
- Epoch: 4

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.0492     | 0.7886          | 0.35         | 0.269        | 0.3321       | 0.3319          | 19.0          | 0     |
| 0.8843     | 0.7467          | 0.3511       | 0.2697       | 0.333        | 0.3326          | 19.0          | 1     |
| 0.8329     | 0.7228          | 0.3521       | 0.2707       | 0.3339       | 0.3337          | 19.0          | 2     |
| 0.8078     | 0.7143          | 0.3519       | 0.271        | 0.334        | 0.3338          | 19.0          | 3     |
| 0.7830     | 0.6959          | 0.353        | 0.2719       | 0.335        | 0.3351          | 19.0          | 4     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0