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mt0
anhdt-dsai-02/mt0
mt0 is a machine learning model from anhdt-dsai-02. 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
- Nov 11, 2023
- Updated
- Nov 23, 2023
- SHA
- e09fe471
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. -->
mt0
This model is a fine-tuned version of bigscience/mt0-base on the Multi-Document Vietnamese dataset. It achieves the following results on the evaluation set:
- Loss: 0.7265121936798096
- Rouge-1: 0.2592
- Rouge-2: 0.1412
- Rouge-4: 0.0788
- Rouge-l: 0.2212
- Rouge-w-1.2: 0.0901
- Rouge-s4: 0.1056
- Rouge-su4: 0.1323
- R: 0.1982
- P: 0.3745
- Bleu: 10.0657
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-4 | Rouge-l | Rouge-w-1.2 | Rouge-s4 | Rouge-su4 | R | P | Bleu |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17.8707 | 1.0 | 628 | 15.0238 | 0.1453 | 0.078 | 0.0336 | 0.1293 | 0.0477 | 0.0524 | 0.0682 | 0.0838 | 0.5448 | 2.131 |
| 0.9125 | 2.0 | 1256 | 0.8100 | 0.2335 | 0.1331 | 0.0727 | 0.2029 | 0.0739 | 0.0978 | 0.1211 | 0.148 | 0.5531 | 6.1757 |
| 0.8117 | 3.0 | 1884 | 0.7965 | 0.2785 | 0.1583 | 0.0898 | 0.2429 | 0.0949 | 0.1195 | 0.1469 | 0.1994 | 0.4618 | 11.2862 |
| 0.881 | 4.0 | 2512 | 0.7945 | 0.2816 | 0.1597 | 0.0897 | 0.2457 | 0.0975 | 0.1195 | 0.1475 | 0.2099 | 0.4276 | 10.3668 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Nov 11, 2023
- Updated
- Nov 23, 2023