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bert_base_lda_50_v1_stsb
gokulsrinivasagan/bert_base_lda_50_v1_stsb
bert_base_lda_50_v1_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
- Nov 26, 2024
- Updated
- Dec 4, 2024
- SHA
- 56bc439a
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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_base_lda_50_v1_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_50_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 1.6371
- Pearson: 0.5607
- Spearmanr: 0.5589
- Combined Score: 0.5598
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 |
|---|---|---|---|---|---|---|
| 2.6627 | 1.0 | 23 | 2.5606 | 0.0619 | 0.0680 | 0.0649 |
| 1.9634 | 2.0 | 46 | 2.0866 | 0.3208 | 0.2992 | 0.3100 |
| 1.5146 | 3.0 | 69 | 1.9855 | 0.4821 | 0.4690 | 0.4756 |
| 1.0707 | 4.0 | 92 | 2.3493 | 0.4693 | 0.4790 | 0.4741 |
| 0.8577 | 5.0 | 115 | 1.7066 | 0.5352 | 0.5293 | 0.5322 |
| 0.6288 | 6.0 | 138 | 1.6371 | 0.5607 | 0.5589 | 0.5598 |
| 0.5403 | 7.0 | 161 | 1.6740 | 0.5636 | 0.5593 | 0.5614 |
| 0.4198 | 8.0 | 184 | 1.7393 | 0.5655 | 0.5612 | 0.5634 |
| 0.3618 | 9.0 | 207 | 1.6963 | 0.5446 | 0.5344 | 0.5395 |
| 0.3216 | 10.0 | 230 | 1.6674 | 0.5594 | 0.5517 | 0.5555 |
| 0.2733 | 11.0 | 253 | 2.0050 | 0.5558 | 0.5493 | 0.5526 |
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
- Nov 26, 2024
- Updated
- Dec 4, 2024