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bert_tiny_lda_20_v1_stsb
gokulsrinivasagan/bert_tiny_lda_20_v1_stsb
bert_tiny_lda_20_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
- 982b5fb2
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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_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_20_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.4012
- Pearson: 0.2090
- Spearmanr: 0.2062
- Combined Score: 0.2076
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 |
|---|---|---|---|---|---|---|
| 2.8045 | 1.0 | 23 | 2.5136 | 0.0649 | 0.0635 | 0.0642 |
| 2.0273 | 2.0 | 46 | 2.7011 | 0.1058 | 0.0988 | 0.1023 |
| 1.9624 | 3.0 | 69 | 2.5059 | 0.1401 | 0.1321 | 0.1361 |
| 1.7728 | 4.0 | 92 | 2.4245 | 0.1928 | 0.1900 | 0.1914 |
| 1.5681 | 5.0 | 115 | 2.5047 | 0.2058 | 0.2035 | 0.2046 |
| 1.3579 | 6.0 | 138 | 2.4012 | 0.2090 | 0.2062 | 0.2076 |
| 1.1855 | 7.0 | 161 | 2.8718 | 0.2028 | 0.2035 | 0.2031 |
| 0.9932 | 8.0 | 184 | 2.7053 | 0.2054 | 0.2051 | 0.2052 |
| 0.8913 | 9.0 | 207 | 2.7462 | 0.1946 | 0.1937 | 0.1941 |
| 0.8264 | 10.0 | 230 | 3.2676 | 0.1870 | 0.1825 | 0.1848 |
| 0.7553 | 11.0 | 253 | 2.8757 | 0.1997 | 0.1970 | 0.1984 |
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