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bert_uncased_L-2_H-512_A-8_stsb
gokulsrinivasagan/bert_uncased_L-2_H-512_A-8_stsb
bert_uncased_L-2_H-512_A-8_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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 95a4bb8c
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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_uncased_L-2_H-512_A-8_stsb
This model is a fine-tuned version of google/bert_uncased_L-2_H-512_A-8 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 0.6358
- Pearson: 0.8581
- Spearmanr: 0.8552
- Combined Score: 0.8566
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 |
|---|---|---|---|---|---|---|
| 3.6969 | 1.0 | 23 | 1.5140 | 0.7418 | 0.7179 | 0.7298 |
| 1.0774 | 2.0 | 46 | 0.8374 | 0.8224 | 0.8231 | 0.8228 |
| 0.7474 | 3.0 | 69 | 0.6987 | 0.8441 | 0.8408 | 0.8424 |
| 0.6216 | 4.0 | 92 | 0.6728 | 0.8521 | 0.8492 | 0.8507 |
| 0.5299 | 5.0 | 115 | 0.7252 | 0.8542 | 0.8526 | 0.8534 |
| 0.4661 | 6.0 | 138 | 0.6521 | 0.8564 | 0.8543 | 0.8554 |
| 0.4071 | 7.0 | 161 | 0.6358 | 0.8581 | 0.8552 | 0.8566 |
| 0.3604 | 8.0 | 184 | 0.6437 | 0.8567 | 0.8550 | 0.8559 |
| 0.3194 | 9.0 | 207 | 0.6857 | 0.8561 | 0.8530 | 0.8546 |
| 0.2981 | 10.0 | 230 | 0.6473 | 0.8575 | 0.8553 | 0.8564 |
| 0.2647 | 11.0 | 253 | 0.6541 | 0.8586 | 0.8552 | 0.8569 |
| 0.244 | 12.0 | 276 | 0.6888 | 0.8572 | 0.8546 | 0.8559 |
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
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024