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t5-finetuned-ar-to-arsl2
Sobeih22/t5-finetuned-ar-to-arsl2
t5-finetuned-ar-to-arsl2 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 7, 2024
- Updated
- May 7, 2024
- SHA
- 5a02de14
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-arsl2
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: 0.3244
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 5.2892
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 0.99 | 78 | 0.4098 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2132 |
| No log | 1.99 | 157 | 0.3022 | 0.0 | 0.0 | 0.0 | 0.0 | 5.248 |
| No log | 2.99 | 236 | 0.2753 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2655 |
| No log | 3.99 | 315 | 0.2742 | 0.0 | 0.0 | 0.0 | 0.0 | 5.275 |
| No log | 5.0 | 394 | 0.2730 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2845 |
| No log | 6.0 | 473 | 0.2821 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2805 |
| 0.4176 | 7.0 | 552 | 0.2923 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2868 |
| 0.4176 | 8.0 | 631 | 0.2977 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2892 |
| 0.4176 | 8.99 | 709 | 0.2937 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2964 |
| 0.4176 | 9.99 | 788 | 0.3020 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2916 |
| 0.4176 | 10.99 | 867 | 0.3177 | 0.0 | 0.0 | 0.0 | 0.0 | 5.294 |
| 0.4176 | 11.99 | 946 | 0.3186 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2916 |
| 0.0879 | 13.0 | 1025 | 0.3255 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2884 |
| 0.0879 | 14.0 | 1104 | 0.3241 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2868 |
| 0.0879 | 14.83 | 1170 | 0.3244 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2892 |
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 7, 2024
- Updated
- May 7, 2024