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mt5-small-finetuned-ar-to-th-3rd-round
Shularp/mt5-small-finetuned-ar-to-th-3rd-round
mt5-small-finetuned-ar-to-th-3rd-round is a machine learning model from Shularp. 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
- mt5
- Access
- Public
- Created
- Jan 31, 2023
- Updated
- Jan 31, 2023
- SHA
- 56692bb1
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. -->
mt5-small-finetuned-ar-to-th-finetuned-ar-to-th-2nd-round-finetuned-ar-to-th-3rd-round
This model is a fine-tuned version of Shularp/mt5-small-finetuned-ar-to-th on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7393
- Bleu: 5.3860
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 3.5917 | 1.0 | 16806 | 2.8661 | 4.1430 |
| 3.432 | 2.0 | 33612 | 2.7698 | 5.0779 |
| 3.3793 | 3.0 | 50418 | 2.7393 | 5.3860 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jan 31, 2023
- Updated
- Jan 31, 2023