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idt5-base-qaqg_v4
hawalurahman/idt5-base-qaqg_v4
idt5-base-qaqg_v4 is a machine learning model from hawalurahman. 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
- Nov 2, 2024
- Updated
- Nov 2, 2024
- SHA
- 483626e5
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. -->
idt5-base-qaqg_v4
This model is a fine-tuned version of muchad/idt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4503
- Rouge1: 0.3985
- Rouge2: 0.2226
- Rougel: 0.3803
- Rougelsum: 0.3801
- Bleu: 0.1821
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
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
|---|---|---|---|---|---|---|---|---|
| 1.7373 | 1.0 | 6000 | 1.5117 | 0.3682 | 0.1977 | 0.3508 | 0.3505 | 0.1687 |
| 1.5048 | 2.0 | 12000 | 1.4624 | 0.3865 | 0.2162 | 0.3694 | 0.3694 | 0.1709 |
| 1.399 | 3.0 | 18000 | 1.4520 | 0.3902 | 0.2156 | 0.3717 | 0.3715 | 0.1777 |
| 1.2412 | 4.0 | 24000 | 1.4497 | 0.3970 | 0.2220 | 0.3791 | 0.3790 | 0.1820 |
| 1.207 | 5.0 | 30000 | 1.4503 | 0.3985 | 0.2226 | 0.3803 | 0.3801 | 0.1821 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.0.2
- Tokenizers 0.20.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 2, 2024
- Updated
- Nov 2, 2024