Downloads · 30 days
20
48% of all-time downloads
tinybert_train_book_ent_15p_qqp
gokulsrinivasagan/tinybert_train_book_ent_15p_qqp
tinybert_train_book_ent_15p_qqp 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
42
Public
Parameters
33M
1.3 GB 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 9, 2025
- Updated
- Apr 9, 2025
- SHA
- 6b1531c0
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_qqp
This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3630
- Accuracy: 0.8467
- F1: 0.7943
- Combined Score: 0.8205
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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.5003 | 1.0 | 1422 | 0.4367 | 0.7927 | 0.7010 | 0.7469 |
| 0.3966 | 2.0 | 2844 | 0.3838 | 0.8211 | 0.7601 | 0.7906 |
| 0.3406 | 3.0 | 4266 | 0.3641 | 0.8339 | 0.7820 | 0.8080 |
| 0.2987 | 4.0 | 5688 | 0.3771 | 0.8406 | 0.7758 | 0.8082 |
| 0.2643 | 5.0 | 7110 | 0.3630 | 0.8467 | 0.7943 | 0.8205 |
| 0.2358 | 6.0 | 8532 | 0.3672 | 0.8462 | 0.7974 | 0.8218 |
| 0.2093 | 7.0 | 9954 | 0.3974 | 0.8452 | 0.8028 | 0.8240 |
| 0.1876 | 8.0 | 11376 | 0.4068 | 0.8510 | 0.8019 | 0.8264 |
| 0.1685 | 9.0 | 12798 | 0.4338 | 0.8480 | 0.8052 | 0.8266 |
| 0.1514 | 10.0 | 14220 | 0.4581 | 0.8486 | 0.8018 | 0.8252 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Apr 9, 2025
- Updated
- Apr 9, 2025