transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:PRAli22/arat5-arabic-dialects-translation base_model:finetune:PRAli22/arat5-arabic-dialects-translation license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: PRAli22/arat5-arabic-dialects-translation
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: t5-finetuned-ar-to-arsl
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-finetuned-ar-to-arsl

This model is a fine-tuned version of [PRAli22/arat5-arabic-dialects-translation](https://huggingface.co/PRAli22/arat5-arabic-dialects-translation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4184
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 5.2837

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.7177        | 1.0   | 631  | 0.5319          | 0.0    | 0.0    | 0.0    | 0.0       | 5.1458  |
| 0.648         | 2.0   | 1262 | 0.4079          | 0.0    | 0.0    | 0.0    | 0.0       | 5.1918  |
| 0.4575        | 3.0   | 1893 | 0.3779          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2567  |
| 0.3147        | 4.0   | 2524 | 0.3666          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2662  |
| 0.2603        | 5.0   | 3155 | 0.3682          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2726  |
| 0.2376        | 6.0   | 3786 | 0.3755          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2758  |
| 0.2157        | 7.0   | 4417 | 0.3767          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2821  |
| 0.182         | 8.0   | 5048 | 0.3994          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2821  |
| 0.1631        | 9.0   | 5679 | 0.3910          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2868  |
| 0.1526        | 10.0  | 6310 | 0.3991          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2853  |
| 0.1463        | 11.0  | 6941 | 0.4110          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2805  |
| 0.1301        | 12.0  | 7572 | 0.4094          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2805  |
| 0.1278        | 13.0  | 8203 | 0.4126          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2821  |
| 0.1253        | 14.0  | 8834 | 0.4184          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2837  |
| 0.1165        | 15.0  | 9465 | 0.4184          | 0.0    | 0.0    | 0.0    | 0.0       | 5.2837  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
