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bert_tiny_lda_20_v1_book_stsb
gokulsrinivasagan/bert_tiny_lda_20_v1_book_stsb
bert_tiny_lda_20_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
- b64cb1d2
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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_20_v1_book_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_20_v1_book on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 1.3015
- Pearson: 0.6652
- Spearmanr: 0.6550
- Combined Score: 0.6601
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 |
|---|---|---|---|---|---|---|
| 3.0179 | 1.0 | 23 | 2.6080 | 0.0861 | 0.0929 | 0.0895 |
| 2.035 | 2.0 | 46 | 2.3616 | 0.2683 | 0.2477 | 0.2580 |
| 1.5507 | 3.0 | 69 | 2.0235 | 0.4102 | 0.3826 | 0.3964 |
| 1.2619 | 4.0 | 92 | 1.7173 | 0.5300 | 0.5095 | 0.5198 |
| 1.0353 | 5.0 | 115 | 1.5564 | 0.5829 | 0.5638 | 0.5733 |
| 0.9021 | 6.0 | 138 | 1.3864 | 0.6315 | 0.6213 | 0.6264 |
| 0.7466 | 7.0 | 161 | 1.4336 | 0.6263 | 0.6143 | 0.6203 |
| 0.6538 | 8.0 | 184 | 1.3015 | 0.6652 | 0.6550 | 0.6601 |
| 0.5925 | 9.0 | 207 | 1.3561 | 0.6456 | 0.6322 | 0.6389 |
| 0.5308 | 10.0 | 230 | 1.5712 | 0.6372 | 0.6248 | 0.6310 |
| 0.4724 | 11.0 | 253 | 1.4731 | 0.6424 | 0.6304 | 0.6364 |
| 0.4354 | 12.0 | 276 | 1.4500 | 0.6696 | 0.6567 | 0.6632 |
| 0.3707 | 13.0 | 299 | 1.3024 | 0.6771 | 0.6673 | 0.6722 |
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