Downloads · 30 days
6
18% of all-time downloads
tinybert_base_train_book_ent_15p_s_init_book_qnli
gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book_qnli
tinybert_base_train_book_ent_15p_s_init_book_qnli is a text classification model from gokulsrinivasagan. Use it when you need a label for a piece of text. 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. --
All-time downloads
34
Public
Parameters
28.8M
921 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors115 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 17, 2025
- Updated
- Jun 17, 2025
- SHA
- 87ba7a86
Try a prompt
Base models
Datasets
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_base_train_book_ent_15p_s_init_book_qnli
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.3847
- Accuracy: 0.8373
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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5359 | 1.0 | 410 | 0.4387 | 0.8018 |
| 0.4252 | 2.0 | 820 | 0.3894 | 0.8268 |
| 0.3666 | 3.0 | 1230 | 0.3847 | 0.8373 |
| 0.3133 | 4.0 | 1640 | 0.4623 | 0.8144 |
| 0.2641 | 5.0 | 2050 | 0.5018 | 0.8120 |
| 0.2209 | 6.0 | 2460 | 0.5171 | 0.8180 |
| 0.1835 | 7.0 | 2870 | 0.5468 | 0.8307 |
| 0.1537 | 8.0 | 3280 | 0.5458 | 0.8270 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jun 17, 2025
- Updated
- Jun 17, 2025