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tinybert_train_book_v2
gokulsrinivasagan/tinybert_train_book_v2
tinybert_train_book_v2 is a fill-mask model from gokulsrinivasagan. Use it when you need the model to fill a missing word. 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
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jan 28, 2025
- Updated
- Jan 29, 2025
- SHA
- 9ca1b9be
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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. -->
tinybert_train_book_v2
This model is a fine-tuned version of distilbert-base-uncased on the gokulsrinivasagan/processed_book_corpus-ld dataset. It achieves the following results on the evaluation set:
- Loss: 1.4246
- Accuracy: 0.6906
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: 0.0001
- train_batch_size: 160
- eval_batch_size: 160
- seed: 10
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.6396 | 0.7025 | 10000 | 5.4784 | 0.1645 |
| 5.5513 | 1.4051 | 20000 | 5.4083 | 0.1660 |
| 2.9289 | 2.1076 | 30000 | 2.5488 | 0.5214 |
| 2.5686 | 2.8102 | 40000 | 2.2269 | 0.5650 |
| 2.3542 | 3.5127 | 50000 | 2.0268 | 0.5945 |
| 2.2044 | 4.2153 | 60000 | 1.8924 | 0.6152 |
| 2.1102 | 4.9178 | 70000 | 1.8025 | 0.6296 |
| 2.0378 | 5.6203 | 80000 | 1.7395 | 0.6393 |
| 1.9881 | 6.3229 | 90000 | 1.6945 | 0.6467 |
| 1.9469 | 7.0254 | 100000 | 1.6552 | 0.6526 |
| 1.919 | 7.7280 | 110000 | 1.6279 | 0.6572 |
| 1.8899 | 8.4305 | 120000 | 1.6012 | 0.6613 |
| 1.8634 | 9.1331 | 130000 | 1.5849 | 0.6641 |
| 1.8481 | 9.8356 | 140000 | 1.5630 | 0.6679 |
| 1.8315 | 10.5381 | 150000 | 1.5476 | 0.6703 |
| 1.8209 | 11.2407 | 160000 | 1.5394 | 0.6716 |
| 1.8038 | 11.9432 | 170000 | 1.5250 | 0.6740 |
| 1.7932 | 12.6458 | 180000 | 1.5107 | 0.6761 |
| 1.7826 | 13.3483 | 190000 | 1.5058 | 0.6770 |
| 1.7736 | 14.0509 | 200000 | 1.4952 | 0.6785 |
| 1.7635 | 14.7534 | 210000 | 1.4862 | 0.6799 |
| 1.7549 | 15.4560 | 220000 | 1.4782 | 0.6815 |
| 1.7497 | 16.1585 | 230000 | 1.4737 | 0.6821 |
| 1.7407 | 16.8610 | 240000 | 1.4675 | 0.6832 |
| 1.7334 | 17.5636 | 250000 | 1.4612 | 0.6843 |
| 1.7288 | 18.2661 | 260000 | 1.4568 | 0.6849 |
| 1.7265 | 18.9687 | 270000 | 1.4519 | 0.6858 |
| 1.7179 | 19.6712 | 280000 | 1.4469 | 0.6868 |
| 1.7156 | 20.3738 | 290000 | 1.4428 | 0.6873 |
| 1.7086 | 21.0763 | 300000 | 1.4389 | 0.6882 |
| 1.7064 | 21.7788 | 310000 | 1.4334 | 0.6892 |
| 1.7009 | 22.4814 | 320000 | 1.4309 | 0.6895 |
| 1.6989 | 23.1839 | 330000 | 1.4292 | 0.6896 |
| 1.6971 | 23.8865 | 340000 | 1.4262 | 0.6902 |
| 1.6958 | 24.5890 | 350000 | 1.4239 | 0.6906 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.2.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 28, 2025
- Updated
- Jan 29, 2025