---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: AliiaR/t5-small-finetuned-model
  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. -->

# AliiaR/t5-small-finetuned-model

This model is a fine-tuned version of [AliiaR/t5-small-finetuned-model](https://huggingface.co/AliiaR/t5-small-finetuned-model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.4127
- Validation Loss: 1.1016
- Train Rouge1: 14.9189
- Train Rouge2: 3.7554
- Train Rougel: 13.6461
- Train Rougelsum: 13.6801
- Train Gen Len: 13.4191
- Epoch: 0

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.4127     | 1.1016          | 14.9189      | 3.7554       | 13.6461      | 13.6801         | 13.4191       | 0     |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3