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t5-finetuned-ar-to-arsl
Sobeih22/t5-finetuned-ar-to-arsl
t5-finetuned-ar-to-arsl is a machine learning model from Sobeih22. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 7, 2024
- SHA
- 8561bc92
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 5, 2024
- Updated
- May 7, 2024