Downloads · 30 days
7
13% of all-time downloads
tinybert_train_book_ent_15p_mid_qnli
gokulsrinivasagan/tinybert_train_book_ent_15p_mid_qnli
tinybert_train_book_ent_15p_mid_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
52
Public
Parameters
33M
791 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors132 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 8a3d50ed
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_train_book_ent_15p_mid_qnli
This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p_mid on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.6574
- Accuracy: 0.6066
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 |
|---|---|---|---|---|
| 0.6751 | 1.0 | 410 | 0.6574 | 0.6066 |
| 0.6431 | 2.0 | 820 | 0.6647 | 0.5984 |
| 0.6126 | 3.0 | 1230 | 0.6791 | 0.5966 |
| 0.5792 | 4.0 | 1640 | 0.7277 | 0.5942 |
| 0.5377 | 5.0 | 2050 | 0.7904 | 0.5794 |
| 0.4859 | 6.0 | 2460 | 0.8294 | 0.5689 |
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
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025