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mt5_base-qg-ap-oficial
tiagoblima/mt5_base-qg-ap-oficial
mt5_base-qg-ap-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. 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 23, 2024
- Updated
- Jan 26, 2024
- SHA
- 8cc4659c
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. -->
mt5_base-qg-ap-oficial
This model is a fine-tuned version of google/mt5-base on the tiagoblima/preprocessed-du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 1.0951
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 |
|---|---|---|---|
| 1.7276 | 1.0 | 1386 | 1.3489 |
| 1.5698 | 2.0 | 2772 | 1.2226 |
| 1.4547 | 3.0 | 4158 | 1.1470 |
| 1.3969 | 4.0 | 5544 | 1.1057 |
| 1.3748 | 5.0 | 6930 | 1.0951 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jan 23, 2024
- Updated
- Jan 26, 2024