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tinybert_base_train_book_ent_15p_s_init_kd_complete_mrpc
gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete_mrpc
tinybert_base_train_book_ent_15p_s_init_kd_complete_mrpc 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
- 5cf171fa
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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_mrpc
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5765
- Accuracy: 0.6985
- F1: 0.7815
- Combined Score: 0.7400
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 |
|---|---|---|---|---|---|---|
| 0.6228 | 1.0 | 15 | 0.5892 | 0.6961 | 0.8032 | 0.7496 |
| 0.5797 | 2.0 | 30 | 0.5779 | 0.7230 | 0.8138 | 0.7684 |
| 0.5574 | 3.0 | 45 | 0.5947 | 0.6961 | 0.8144 | 0.7552 |
| 0.5367 | 4.0 | 60 | 0.5765 | 0.6985 | 0.7815 | 0.7400 |
| 0.4783 | 5.0 | 75 | 0.6074 | 0.6887 | 0.7590 | 0.7239 |
| 0.4161 | 6.0 | 90 | 0.5776 | 0.7279 | 0.8103 | 0.7691 |
| 0.334 | 7.0 | 105 | 0.7083 | 0.7304 | 0.8248 | 0.7776 |
| 0.2768 | 8.0 | 120 | 0.9136 | 0.7206 | 0.8267 | 0.7737 |
| 0.232 | 9.0 | 135 | 0.8386 | 0.7426 | 0.8341 | 0.7884 |
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