transformers pytorch tensorboard mbart text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: trainingthemodel
  results: []
---

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# trainingthemodel

This model is a fine-tuned version of [abdalrahmanshahrour/arabartsummarization](https://huggingface.co/abdalrahmanshahrour/arabartsummarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2622
- Rouge1: 0.1194
- Rouge2: 0.0483
- Rougel: 0.0975
- Rougelsum: 0.0977
- Gen Len: 20.0

## 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:
- 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 154  | 2.7120          | 0.1178 | 0.0452 | 0.0966 | 0.0966    | 20.0    |
| No log        | 2.0   | 308  | 2.4175          | 0.1202 | 0.0482 | 0.0995 | 0.0998    | 20.0    |
| No log        | 3.0   | 462  | 2.3151          | 0.1181 | 0.0468 | 0.0963 | 0.0966    | 20.0    |
| 3.034         | 4.0   | 616  | 2.2622          | 0.1194 | 0.0483 | 0.0975 | 0.0977    | 20.0    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
