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---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: mfaraggg/t5-base-finetuned-summscreen
  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. -->

# mfaraggg/t5-base-finetuned-summscreen

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.2583
- Validation Loss: 2.9405
- Train Rouge1: 13.9703
- Train Rouge2: 2.2547
- Train Rougel: 10.7506
- Train Rougelsum: 11.9748
- Train Gen Len: 18.9977
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.2583     | 2.9405          | 13.9703      | 2.2547       | 10.7506      | 11.9748         | 18.9977       | 0     |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1