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lm-003-20230401-001
intanm/lm-003-20230401-001
lm-003-20230401-001 is a fill-mask model from intanm. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Apr 1, 2023
- Updated
- Apr 1, 2023
- SHA
- cf79c33f
Try a prompt
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. -->
lm-003-20230401-001
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3313
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
- 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 |
|---|---|---|---|
| 4.907 | 1.0 | 651 | 3.6066 |
| 3.6162 | 2.0 | 1302 | 3.0848 |
| 3.2119 | 3.0 | 1953 | 2.7986 |
| 2.7763 | 4.0 | 2604 | 2.6678 |
| 2.7219 | 5.0 | 3255 | 2.5311 |
| 2.588 | 6.0 | 3906 | 2.4662 |
| 2.4796 | 7.0 | 4557 | 2.4072 |
| 2.4286 | 8.0 | 5208 | 2.3815 |
| 2.4069 | 9.0 | 5859 | 2.3650 |
| 2.3557 | 10.0 | 6510 | 2.3676 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 1, 2023
- Updated
- Apr 1, 2023