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tqa-stage2-v1
quanxuantruong/tqa-stage2-v1
tqa-stage2-v1 is a machine learning model from quanxuantruong. 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
- Jul 29, 2025
- Updated
- Jul 29, 2025
- SHA
- e14f443d
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. -->
tqa-stage2-v1
This model is a fine-tuned version of quanxuantruong/tqa-stage1-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1406
- Rouge1: 0.5367
- Rouge2: 0.3644
- Rougel: 0.5367
- Rougelsum: 0.5358
- Exact Match: 0.0067
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Exact Match |
|---|---|---|---|---|---|---|---|---|
| 3.4898 | 1.0 | 169 | 1.5341 | 0.2783 | 0.1844 | 0.28 | 0.2797 | 0.0067 |
| 1.5963 | 2.0 | 338 | 1.1492 | 0.5367 | 0.3644 | 0.5367 | 0.5358 | 0.01 |
| 1.3359 | 3.0 | 507 | 1.1406 | 0.5367 | 0.3644 | 0.5367 | 0.5358 | 0.0067 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025