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bartpho-word-base-ed
cuongpp/bartpho-word-base-ed
bartpho-word-base-ed is a machine learning model from cuongpp. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Jun 16, 2024
- Updated
- Jun 17, 2024
- SHA
- 00d7125c
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. -->
bartpho-word-base-ed
This model is a fine-tuned version of vinai/bartpho-word-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0119
- F1 Micro: 0.7414
- Recall Micro: 0.6649
- Precision Micro: 0.8378
- F1 Macro: 0.1869
- Recall Macro: 0.1816
- Precision Macro: 0.1949
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 373 | 0.0156 | 0.7286 | 0.6544 | 0.8219 | 0.1709 | 0.1813 | 0.1667 |
| 0.1321 | 2.0 | 746 | 0.0124 | 0.7387 | 0.6563 | 0.8448 | 0.1711 | 0.1599 | 0.1889 |
| 0.0134 | 3.0 | 1119 | 0.0126 | 0.7290 | 0.6488 | 0.8319 | 0.1842 | 0.1897 | 0.1866 |
| 0.0134 | 4.0 | 1492 | 0.0119 | 0.7490 | 0.6859 | 0.8248 | 0.1820 | 0.1644 | 0.2081 |
| 0.0105 | 5.0 | 1865 | 0.0119 | 0.7414 | 0.6649 | 0.8378 | 0.1869 | 0.1816 | 0.1949 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mbart
- Created
- Jun 16, 2024
- Updated
- Jun 17, 2024