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# tawfikgh/t5-small-finetuned-xsum-150000

This model is a fine-tuned version of [tawfikgh/t5-small-finetuned-xsum](https://huggingface.co/tawfikgh/t5-small-finetuned-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.6654
- Train Accuracy: 0.3307
- Validation Loss: 2.4052
- Validation Accuracy: 0.3549
- Train Rouge1: 29.4337
- Train Rouge2: 8.4567
- Train Rougel: 23.2104
- Train Rougelsum: 23.2060
- Train Gen Len: 18.8260
- 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 | Train Accuracy | Validation Loss | Validation Accuracy | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.6654     | 0.3307         | 2.4052          | 0.3549              | 29.4337      | 8.4567       | 23.2104      | 23.2060         | 18.8260       | 0     |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "tawfikgh/t5-small-finetuned-xsum", "model-index": [{"name": "tawfikgh/t5-small-finetuned-xsum-150000", "results": []}]}
transformers tf tensorboard t5 text2text-generation generated_from_keras_callback base_model:tawfikgh/t5-small-finetuned-xsum license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us