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mt5-small-km-phoneme-reverse
seanghay/mt5-small-km-phoneme-reverse
mt5-small-km-phoneme-reverse is a machine learning model from seanghay. 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
- Apr 26, 2023
- Updated
- Apr 26, 2023
- SHA
- cf23aee6
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-km-phoneme-reverse
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: 1.2416
- Rouge1: 30.9064
- Rouge2: 15.5474
- Rougel: 30.6746
- Rougelsum: 30.691
- Gen Len: 4.8282
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6872 | 1.0 | 2515 | 1.3202 | 28.8555 | 13.7602 | 28.6841 | 28.7043 | 4.6996 |
| 1.5052 | 2.0 | 5030 | 1.2561 | 30.5921 | 15.3773 | 30.3685 | 30.3818 | 4.8390 |
| 1.5144 | 3.0 | 7545 | 1.2416 | 30.9064 | 15.5474 | 30.6746 | 30.691 | 4.8282 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Apr 26, 2023
- Updated
- Apr 26, 2023