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mt5-small-qa_v2_enhanced2
hawalurahman/mt5-small-qa_v2_enhanced2
mt5-small-qa_v2_enhanced2 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 21, 2024
- Updated
- Oct 21, 2024
- SHA
- c9be6e1c
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_enhanced2
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: 2.3751
- Rouge1: 0.4917
- Rouge2: 0.2836
- Rougel: 0.4906
- Rougelsum: 0.4912
- Bleu: 0.3255
- Exact Match: 0.3218
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: 0.0003
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1.1634 | 1.0 | 2200 | 1.3132 | 0.4334 | 0.2574 | 0.4329 | 0.4338 | 0.2552 | 0.2570 |
| 0.6234 | 2.0 | 4400 | 1.2791 | 0.4561 | 0.2634 | 0.4558 | 0.4563 | 0.2652 | 0.2909 |
| 0.3062 | 3.0 | 6600 | 1.4780 | 0.4365 | 0.2557 | 0.4361 | 0.4371 | 0.2850 | 0.2773 |
| 0.2078 | 4.0 | 8800 | 1.6920 | 0.4863 | 0.2821 | 0.4857 | 0.4864 | 0.3287 | 0.3111 |
| 0.1334 | 5.0 | 11000 | 1.8055 | 0.4770 | 0.2651 | 0.4764 | 0.4768 | 0.2945 | 0.3166 |
| 0.0977 | 6.0 | 13200 | 1.9652 | 0.4644 | 0.2727 | 0.4631 | 0.4644 | 0.2904 | 0.2973 |
| 0.0672 | 7.0 | 15400 | 2.1246 | 0.4886 | 0.2766 | 0.4880 | 0.4888 | 0.2913 | 0.3198 |
| 0.0497 | 8.0 | 17600 | 2.2569 | 0.4905 | 0.2771 | 0.4901 | 0.4909 | 0.3072 | 0.3166 |
| 0.0344 | 9.0 | 19800 | 2.4042 | 0.4958 | 0.2861 | 0.4948 | 0.4958 | 0.3332 | 0.3232 |
| 0.0313 | 10.0 | 22000 | 2.3751 | 0.4917 | 0.2836 | 0.4906 | 0.4912 | 0.3255 | 0.3218 |
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 21, 2024
- Updated
- Oct 21, 2024