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mt5_base-qg-ap-peft-oficial
tiagoblima/mt5_base-qg-ap-peft-oficial
mt5_base-qg-ap-peft-oficial is a machine learning model from tiagoblima. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Jan 25, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 24, 2024
- Updated
- Jan 25, 2024
- SHA
- 49c1c0b2
Base models
Datasets
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_base-qg-ap-peft-oficial
This model is a fine-tuned version of google/mt5-base on the tiagoblima/du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 6.6924
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.2785 | 1.0 | 2367 | 7.4566 |
| 9.7078 | 2.0 | 4734 | 7.0581 |
| 9.4851 | 3.0 | 7101 | 6.8360 |
| 9.2737 | 4.0 | 9468 | 6.7291 |
| 9.3588 | 5.0 | 11835 | 6.6924 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1
- License
- apache-2.0
- Created
- Jan 24, 2024
- Updated
- Jan 25, 2024