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bert_base_train_book_ent_15p_inv_stsb
gokulsrinivasagan/bert_base_train_book_ent_15p_inv_stsb
bert_base_train_book_ent_15p_inv_stsb 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
- distilbert
- Access
- Public
- Created
- Apr 9, 2025
- Updated
- Apr 9, 2025
- SHA
- 9085140a
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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. -->
bert_base_train_book_ent_15p_inv_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_inv on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2587
- Pearson: 0.1714
- Spearmanr: 0.1572
- Combined Score: 0.1643
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 | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.6428 | 1.0 | 23 | 2.4753 | 0.1186 | 0.0982 | 0.1084 |
| 1.9768 | 2.0 | 46 | 2.2587 | 0.1714 | 0.1572 | 0.1643 |
| 1.7111 | 3.0 | 69 | 2.3172 | 0.2174 | 0.2105 | 0.2140 |
| 1.3491 | 4.0 | 92 | 2.4197 | 0.2657 | 0.2629 | 0.2643 |
| 0.9597 | 5.0 | 115 | 2.3669 | 0.2849 | 0.2844 | 0.2847 |
| 0.7151 | 6.0 | 138 | 2.4566 | 0.2771 | 0.2781 | 0.2776 |
| 0.5171 | 7.0 | 161 | 2.5672 | 0.3001 | 0.2950 | 0.2975 |
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