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tinybert_base_train_book_ent_15p_s_init_book_mrpc
gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book_mrpc
tinybert_base_train_book_ent_15p_s_init_book_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 17, 2025
- Updated
- Jun 17, 2025
- SHA
- c402ded3
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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_mrpc
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5825
- Accuracy: 0.7010
- F1: 0.8111
- Combined Score: 0.7561
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 |
|---|---|---|---|---|---|---|
| 0.6257 | 1.0 | 15 | 0.6032 | 0.6961 | 0.8086 | 0.7524 |
| 0.584 | 2.0 | 30 | 0.5825 | 0.7010 | 0.8111 | 0.7561 |
| 0.5483 | 3.0 | 45 | 0.6029 | 0.7059 | 0.8171 | 0.7615 |
| 0.5131 | 4.0 | 60 | 0.5927 | 0.6863 | 0.7808 | 0.7335 |
| 0.4597 | 5.0 | 75 | 0.6270 | 0.6985 | 0.7897 | 0.7441 |
| 0.3832 | 6.0 | 90 | 0.6773 | 0.7034 | 0.7987 | 0.7511 |
| 0.3111 | 7.0 | 105 | 0.7539 | 0.7083 | 0.8096 | 0.7590 |
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