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distilbert_lda_50_v1_stsb
gokulsrinivasagan/distilbert_lda_50_v1_stsb
distilbert_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
- d107c20f
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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. -->
distilbert_lda_50_v1_stsb
This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_50_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 1.3807
- Pearson: 0.6576
- Spearmanr: 0.6483
- Combined Score: 0.6529
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 |
|---|---|---|---|---|---|---|
| 2.6455 | 1.0 | 23 | 2.4817 | 0.0933 | 0.0791 | 0.0862 |
| 2.0015 | 2.0 | 46 | 2.5968 | 0.1340 | 0.1191 | 0.1265 |
| 1.875 | 3.0 | 69 | 2.2990 | 0.2213 | 0.2184 | 0.2198 |
| 1.4576 | 4.0 | 92 | 2.3398 | 0.4446 | 0.4147 | 0.4296 |
| 1.0618 | 5.0 | 115 | 1.8954 | 0.5425 | 0.5250 | 0.5338 |
| 0.7001 | 6.0 | 138 | 1.9422 | 0.5693 | 0.5653 | 0.5673 |
| 0.5415 | 7.0 | 161 | 2.0586 | 0.5778 | 0.5692 | 0.5735 |
| 0.4005 | 8.0 | 184 | 1.5390 | 0.6166 | 0.6056 | 0.6111 |
| 0.3147 | 9.0 | 207 | 1.7006 | 0.5953 | 0.5793 | 0.5873 |
| 0.2829 | 10.0 | 230 | 1.4072 | 0.6480 | 0.6375 | 0.6428 |
| 0.2308 | 11.0 | 253 | 1.5357 | 0.6279 | 0.6134 | 0.6207 |
| 0.1996 | 12.0 | 276 | 1.6600 | 0.6341 | 0.6212 | 0.6276 |
| 0.1822 | 13.0 | 299 | 1.5625 | 0.6463 | 0.6354 | 0.6409 |
| 0.1646 | 14.0 | 322 | 1.3891 | 0.6635 | 0.6566 | 0.6601 |
| 0.1492 | 15.0 | 345 | 1.3807 | 0.6576 | 0.6483 | 0.6529 |
| 0.1296 | 16.0 | 368 | 1.4665 | 0.6426 | 0.6319 | 0.6372 |
| 0.1306 | 17.0 | 391 | 1.5261 | 0.6364 | 0.6213 | 0.6288 |
| 0.1205 | 18.0 | 414 | 1.4115 | 0.6427 | 0.6266 | 0.6347 |
| 0.1087 | 19.0 | 437 | 1.5183 | 0.6400 | 0.6248 | 0.6324 |
| 0.1072 | 20.0 | 460 | 1.5816 | 0.6414 | 0.6310 | 0.6362 |
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