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distilbert_base_lda_stsb
gokulsrinivasagan/distilbert_base_lda_stsb
distilbert_base_lda_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 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 5b512c6f
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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. -->
distilbert_base_lda_stsb
This model is a fine-tuned version of gokulsrinivasagan/distilbert_base_lda on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 0.9069
- Pearson: 0.7831
- Spearmanr: 0.7812
- Combined Score: 0.7822
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 |
|---|---|---|---|---|---|---|
| 2.63 | 1.0 | 23 | 2.2703 | 0.2049 | 0.1869 | 0.1959 |
| 1.6161 | 2.0 | 46 | 1.5326 | 0.5968 | 0.5988 | 0.5978 |
| 1.0577 | 3.0 | 69 | 0.9897 | 0.7544 | 0.7530 | 0.7537 |
| 0.7651 | 4.0 | 92 | 1.3080 | 0.7422 | 0.7513 | 0.7468 |
| 0.5755 | 5.0 | 115 | 1.0189 | 0.7718 | 0.7729 | 0.7724 |
| 0.4879 | 6.0 | 138 | 0.9542 | 0.7654 | 0.7639 | 0.7647 |
| 0.3923 | 7.0 | 161 | 0.9830 | 0.7704 | 0.7702 | 0.7703 |
| 0.2951 | 8.0 | 184 | 1.0897 | 0.7662 | 0.7689 | 0.7675 |
| 0.2586 | 9.0 | 207 | 1.1433 | 0.7597 | 0.7595 | 0.7596 |
| 0.2193 | 10.0 | 230 | 0.9188 | 0.7807 | 0.7783 | 0.7795 |
| 0.2001 | 11.0 | 253 | 0.9884 | 0.7733 | 0.7733 | 0.7733 |
| 0.1817 | 12.0 | 276 | 1.0962 | 0.7711 | 0.7708 | 0.7710 |
| 0.1645 | 13.0 | 299 | 0.9747 | 0.7704 | 0.7695 | 0.7700 |
| 0.1677 | 14.0 | 322 | 0.9869 | 0.7723 | 0.7710 | 0.7717 |
| 0.1392 | 15.0 | 345 | 0.9069 | 0.7831 | 0.7812 | 0.7822 |
| 0.1318 | 16.0 | 368 | 1.0261 | 0.7669 | 0.7666 | 0.7668 |
| 0.1167 | 17.0 | 391 | 1.0508 | 0.7623 | 0.7635 | 0.7629 |
| 0.1168 | 18.0 | 414 | 1.1379 | 0.7509 | 0.7501 | 0.7505 |
| 0.1097 | 19.0 | 437 | 1.0633 | 0.7691 | 0.7717 | 0.7704 |
| 0.104 | 20.0 | 460 | 1.0595 | 0.7729 | 0.7741 | 0.7735 |
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 4, 2024
- Updated
- Dec 4, 2024