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tinybert_base_train_book_ent_15p_s_init_kd_complete_qqp
gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete_qqp
tinybert_base_train_book_ent_15p_s_init_kd_complete_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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 15, 2025
- Updated
- Jun 15, 2025
- SHA
- d3fd2ce5
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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_kd_complete_qqp
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.2906
- Accuracy: 0.8756
- F1: 0.8286
- Combined Score: 0.8521
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 |
|---|---|---|---|---|---|---|
| 0.4076 | 1.0 | 1422 | 0.3414 | 0.8449 | 0.7806 | 0.8128 |
| 0.3116 | 2.0 | 2844 | 0.3196 | 0.8569 | 0.8224 | 0.8397 |
| 0.265 | 3.0 | 4266 | 0.2982 | 0.8736 | 0.8339 | 0.8537 |
| 0.2293 | 4.0 | 5688 | 0.2906 | 0.8756 | 0.8286 | 0.8521 |
| 0.1988 | 5.0 | 7110 | 0.3052 | 0.8808 | 0.8401 | 0.8605 |
| 0.172 | 6.0 | 8532 | 0.2961 | 0.8834 | 0.8451 | 0.8642 |
| 0.1498 | 7.0 | 9954 | 0.3296 | 0.8802 | 0.8434 | 0.8618 |
| 0.1299 | 8.0 | 11376 | 0.3442 | 0.8872 | 0.8495 | 0.8684 |
| 0.1142 | 9.0 | 12798 | 0.3699 | 0.8851 | 0.8474 | 0.8662 |
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 15, 2025
- Updated
- Jun 15, 2025