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bert_base_train_book_ent_15p_ra_stsb
gokulsrinivasagan/bert_base_train_book_ent_15p_ra_stsb
bert_base_train_book_ent_15p_ra_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
- 923fbf56
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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_ra_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_ra on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 1.2111
- Pearson: 0.6829
- Spearmanr: 0.6824
- Combined Score: 0.6826
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 |
|---|---|---|---|---|---|---|
| 2.5153 | 1.0 | 23 | 2.5163 | 0.1364 | 0.1247 | 0.1305 |
| 1.6834 | 2.0 | 46 | 1.8815 | 0.5432 | 0.5675 | 0.5553 |
| 1.1959 | 3.0 | 69 | 1.6520 | 0.6332 | 0.6515 | 0.6424 |
| 0.8328 | 4.0 | 92 | 1.2111 | 0.6829 | 0.6824 | 0.6826 |
| 0.6107 | 5.0 | 115 | 1.2969 | 0.6663 | 0.6685 | 0.6674 |
| 0.4373 | 6.0 | 138 | 1.5976 | 0.6757 | 0.6798 | 0.6777 |
| 0.3605 | 7.0 | 161 | 1.4559 | 0.6832 | 0.6832 | 0.6832 |
| 0.2655 | 8.0 | 184 | 1.2907 | 0.6729 | 0.6656 | 0.6693 |
| 0.2202 | 9.0 | 207 | 1.4792 | 0.6744 | 0.6685 | 0.6715 |
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