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tinybert_base_train_book_ent_15p_lda_qqp
gokulsrinivasagan/tinybert_base_train_book_ent_15p_lda_qqp
tinybert_base_train_book_ent_15p_lda_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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 0adeed9a
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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_lda_qqp
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_lda on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.3827
- Accuracy: 0.8302
- F1: 0.7686
- Combined Score: 0.7994
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 |
|---|---|---|---|---|---|---|
| 0.5023 | 1.0 | 1422 | 0.4642 | 0.7785 | 0.6568 | 0.7177 |
| 0.4118 | 2.0 | 2844 | 0.4095 | 0.8060 | 0.7474 | 0.7767 |
| 0.3537 | 3.0 | 4266 | 0.3912 | 0.8194 | 0.7662 | 0.7928 |
| 0.309 | 4.0 | 5688 | 0.3827 | 0.8302 | 0.7686 | 0.7994 |
| 0.2721 | 5.0 | 7110 | 0.3917 | 0.8368 | 0.7787 | 0.8078 |
| 0.2399 | 6.0 | 8532 | 0.3872 | 0.8365 | 0.7904 | 0.8135 |
| 0.2121 | 7.0 | 9954 | 0.4254 | 0.8343 | 0.7897 | 0.8120 |
| 0.1881 | 8.0 | 11376 | 0.4503 | 0.8399 | 0.7931 | 0.8165 |
| 0.1668 | 9.0 | 12798 | 0.4631 | 0.8392 | 0.7935 | 0.8164 |
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
- Languages
- en
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025