transformers tf tensorboard t5 text2text-generation generated_from_keras_callback base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: tawfikgh/t5-small-finetuned-xsum
  results: []
---

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# tawfikgh/t5-small-finetuned-xsum

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: 2.6007
- Train Accuracy: 0.3468
- Validation Loss: 2.4078
- Validation Accuracy: 0.3649
- Train Rouge1: 28.6978
- Train Rouge2: 8.2259
- Train Rougel: 22.5783
- Train Rougelsum: 22.5893
- Train Gen Len: 18.8233
- Epoch: 3

## 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 | Train Accuracy | Validation Loss | Validation Accuracy | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.7567     | 0.3320         | 2.5031          | 0.3547              | 27.5049      | 7.3784       | 21.4250      | 21.4420         | 18.8232       | 0     |
| 2.6906     | 0.3388         | 2.4626          | 0.3594              | 28.0606      | 7.6834       | 21.9653      | 21.9739         | 18.8168       | 1     |
| 2.6419     | 0.3436         | 2.4321          | 0.3624              | 28.5598      | 8.0688       | 22.3498      | 22.3559         | 18.8152       | 2     |
| 2.6007     | 0.3468         | 2.4078          | 0.3649              | 28.6978      | 8.2259       | 22.5783      | 22.5893         | 18.8233       | 3     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0
