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bert_tiny_lda_50_v1_stsb
gokulsrinivasagan/bert_tiny_lda_50_v1_stsb
bert_tiny_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
- 3e549613
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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_tiny_lda_50_v1_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_50_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.3765
- Pearson: 0.1882
- Spearmanr: 0.1845
- Combined Score: 0.1863
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 |
|---|---|---|---|---|---|---|
| 2.7864 | 1.0 | 23 | 2.4307 | 0.0696 | 0.0608 | 0.0652 |
| 2.0367 | 2.0 | 46 | 2.7090 | 0.0822 | 0.0803 | 0.0812 |
| 1.9366 | 3.0 | 69 | 2.6122 | 0.1308 | 0.1278 | 0.1293 |
| 1.801 | 4.0 | 92 | 2.3765 | 0.1882 | 0.1845 | 0.1863 |
| 1.6026 | 5.0 | 115 | 2.5150 | 0.1998 | 0.2016 | 0.2007 |
| 1.3683 | 6.0 | 138 | 2.7483 | 0.1906 | 0.1931 | 0.1918 |
| 1.2143 | 7.0 | 161 | 2.5671 | 0.2152 | 0.2193 | 0.2173 |
| 1.0711 | 8.0 | 184 | 3.4697 | 0.1887 | 0.1904 | 0.1895 |
| 1.1482 | 9.0 | 207 | 2.6297 | 0.2285 | 0.2319 | 0.2302 |
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