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mt5-small-qa_v2_enhanced
hawalurahman/mt5-small-qa_v2_enhanced
mt5-small-qa_v2_enhanced 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
- mt5
- Access
- Public
- Created
- Oct 20, 2024
- Updated
- Oct 20, 2024
- SHA
- 4d5f0f86
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-small-qa_v2_enhanced
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1661
- Rouge1: 0.4013
- Rouge2: 0.2476
- Rougel: 0.4014
- Rougelsum: 0.4012
- Bleu: 0.2699
- Exact Match: 0.2782
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Exact Match |
|---|---|---|---|---|---|---|---|---|---|
| 1.9754 | 1.0 | 2500 | 1.5697 | 0.2190 | 0.2009 | 0.2192 | 0.2194 | 0.2048 | 0.2054 |
| 1.2673 | 2.0 | 5000 | 1.2572 | 0.3223 | 0.2141 | 0.3222 | 0.3225 | 0.2240 | 0.2312 |
| 0.9588 | 3.0 | 7500 | 1.1536 | 0.3697 | 0.2347 | 0.3695 | 0.3696 | 0.2445 | 0.255 |
| 0.7753 | 4.0 | 10000 | 1.1177 | 0.3952 | 0.2538 | 0.3949 | 0.3950 | 0.2741 | 0.2702 |
| 0.6586 | 5.0 | 12500 | 1.1198 | 0.4119 | 0.2597 | 0.4121 | 0.4119 | 0.2770 | 0.2778 |
| 0.5849 | 6.0 | 15000 | 1.1087 | 0.3951 | 0.2495 | 0.3956 | 0.3951 | 0.2714 | 0.2788 |
| 0.5109 | 7.0 | 17500 | 1.1544 | 0.4021 | 0.2462 | 0.4019 | 0.4021 | 0.2671 | 0.2702 |
| 0.4777 | 8.0 | 20000 | 1.1463 | 0.4022 | 0.2465 | 0.4022 | 0.4020 | 0.2682 | 0.2726 |
| 0.4829 | 9.0 | 22500 | 1.1517 | 0.4016 | 0.2437 | 0.4018 | 0.4018 | 0.2621 | 0.2762 |
| 0.4481 | 10.0 | 25000 | 1.1661 | 0.4013 | 0.2476 | 0.4014 | 0.4012 | 0.2699 | 0.2782 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Oct 20, 2024
- Updated
- Oct 20, 2024