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# t5-arabic-text-summarization-finetuned-xsum

This model is a fine-tuned version of [malmarjeh/t5-arabic-text-summarization](https://huggingface.co/malmarjeh/t5-arabic-text-summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5723

## 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:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.7847        | 1.0   | 840  | 3.4060          |
| 3.9577        | 2.0   | 1680 | 3.1634          |
| 3.6274        | 3.0   | 2520 | 2.9916          |
| 3.5127        | 4.0   | 3360 | 2.8185          |
| 3.324         | 5.0   | 4200 | 2.7196          |
| 3.2254        | 6.0   | 5040 | 2.6812          |
| 3.2065        | 7.0   | 5880 | 2.6396          |
| 3.1036        | 8.0   | 6720 | 2.5930          |
| 3.0984        | 9.0   | 7560 | 2.5850          |
| 2.9747        | 10.0  | 8400 | 2.5723          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "malmarjeh/t5-arabic-text-summarization", "model-index": [{"name": "t5-arabic-text-summarization-finetuned-xsum", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:malmarjeh/t5-arabic-text-summarization autotrain_compatible endpoints_compatible text-generation-inference region:us