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bert_tiny_lda_5_v1_book_stsb
gokulsrinivasagan/bert_tiny_lda_5_v1_book_stsb
bert_tiny_lda_5_v1_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.
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
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 51429498
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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. -->
bert_tiny_lda_5_v1_book_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_5_v1_book on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 0.8189
- Pearson: 0.8027
- Spearmanr: 0.7988
- Combined Score: 0.8007
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 |
|---|---|---|---|---|---|---|
| 2.8706 | 1.0 | 23 | 2.4625 | 0.0991 | 0.1000 | 0.0995 |
| 1.7766 | 2.0 | 46 | 1.3387 | 0.6421 | 0.6371 | 0.6396 |
| 1.1649 | 3.0 | 69 | 0.9883 | 0.7530 | 0.7470 | 0.7500 |
| 0.8446 | 4.0 | 92 | 0.9501 | 0.7802 | 0.7827 | 0.7814 |
| 0.6587 | 5.0 | 115 | 0.9120 | 0.7839 | 0.7824 | 0.7831 |
| 0.5587 | 6.0 | 138 | 0.8918 | 0.7876 | 0.7880 | 0.7878 |
| 0.5104 | 7.0 | 161 | 0.9523 | 0.7822 | 0.7828 | 0.7825 |
| 0.4506 | 8.0 | 184 | 0.9421 | 0.7916 | 0.7923 | 0.7919 |
| 0.4174 | 9.0 | 207 | 1.0925 | 0.7876 | 0.7937 | 0.7906 |
| 0.3229 | 10.0 | 230 | 0.8792 | 0.7969 | 0.7946 | 0.7958 |
| 0.3096 | 11.0 | 253 | 0.9665 | 0.7887 | 0.7884 | 0.7886 |
| 0.2918 | 12.0 | 276 | 0.8212 | 0.8017 | 0.7992 | 0.8004 |
| 0.2479 | 13.0 | 299 | 0.8791 | 0.8055 | 0.8037 | 0.8046 |
| 0.2409 | 14.0 | 322 | 0.8217 | 0.7970 | 0.7930 | 0.7950 |
| 0.2071 | 15.0 | 345 | 0.8929 | 0.7998 | 0.7971 | 0.7984 |
| 0.1907 | 16.0 | 368 | 0.8189 | 0.8027 | 0.7988 | 0.8007 |
| 0.1825 | 17.0 | 391 | 0.9393 | 0.7924 | 0.7899 | 0.7912 |
| 0.1634 | 18.0 | 414 | 0.8722 | 0.8046 | 0.8023 | 0.8035 |
| 0.1531 | 19.0 | 437 | 0.9629 | 0.8037 | 0.8023 | 0.8030 |
| 0.153 | 20.0 | 460 | 1.0063 | 0.7971 | 0.7947 | 0.7959 |
| 0.1409 | 21.0 | 483 | 0.9757 | 0.7968 | 0.7942 | 0.7955 |
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
- Languages
- en
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024