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bert_base_train_book_stsb
gokulsrinivasagan/bert_base_train_book_stsb
bert_base_train_book_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
- Dec 9, 2024
- Updated
- Dec 9, 2024
- SHA
- 3fa0aeac
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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_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 0.8312
- Pearson: 0.7987
- Spearmanr: 0.7962
- Combined Score: 0.7975
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 |
|---|---|---|---|---|---|---|
| 2.7053 | 1.0 | 23 | 3.0797 | 0.2078 | 0.1978 | 0.2028 |
| 1.6079 | 2.0 | 46 | 1.3635 | 0.6578 | 0.6708 | 0.6643 |
| 0.8744 | 3.0 | 69 | 1.0689 | 0.7391 | 0.7444 | 0.7418 |
| 0.6927 | 4.0 | 92 | 0.9753 | 0.7538 | 0.7525 | 0.7532 |
| 0.513 | 5.0 | 115 | 0.8901 | 0.7786 | 0.7776 | 0.7781 |
| 0.4145 | 6.0 | 138 | 0.9329 | 0.8023 | 0.8040 | 0.8032 |
| 0.3148 | 7.0 | 161 | 1.0895 | 0.7820 | 0.7806 | 0.7813 |
| 0.2547 | 8.0 | 184 | 0.9650 | 0.7741 | 0.7760 | 0.7750 |
| 0.2385 | 9.0 | 207 | 0.8644 | 0.7980 | 0.7967 | 0.7973 |
| 0.1984 | 10.0 | 230 | 0.8782 | 0.7990 | 0.8005 | 0.7998 |
| 0.165 | 11.0 | 253 | 0.9499 | 0.8044 | 0.8060 | 0.8052 |
| 0.1628 | 12.0 | 276 | 1.0373 | 0.7997 | 0.8026 | 0.8011 |
| 0.1328 | 13.0 | 299 | 0.9285 | 0.7979 | 0.8006 | 0.7992 |
| 0.1235 | 14.0 | 322 | 0.8312 | 0.7987 | 0.7962 | 0.7975 |
| 0.1061 | 15.0 | 345 | 0.8854 | 0.8044 | 0.8034 | 0.8039 |
| 0.1095 | 16.0 | 368 | 0.9605 | 0.7908 | 0.7908 | 0.7908 |
| 0.1052 | 17.0 | 391 | 0.8527 | 0.7919 | 0.7897 | 0.7908 |
| 0.0939 | 18.0 | 414 | 0.8989 | 0.7928 | 0.7926 | 0.7927 |
| 0.0898 | 19.0 | 437 | 1.0319 | 0.7994 | 0.8021 | 0.8008 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 9, 2024
- Updated
- Dec 9, 2024