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mobilebert_sa_GLUE_Experiment_stsb_128
gokuls/mobilebert_sa_GLUE_Experiment_stsb_128
mobilebert_sa_GLUE_Experiment_stsb_128 is a text classification model from gokuls. 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
- mobilebert
- Access
- Public
- Created
- Jan 25, 2023
- Updated
- Jan 25, 2023
- SHA
- de768cbc
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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. -->
mobilebert_sa_GLUE_Experiment_stsb_128
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2718
- Pearson: 0.2225
- Spearmanr: 0.2230
- Combined Score: 0.2228
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: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 5.1866 | 1.0 | 45 | 2.5161 | -0.0355 | -0.0329 | -0.0342 |
| 2.1786 | 2.0 | 90 | 2.3527 | 0.0407 | 0.0395 | 0.0401 |
| 2.1136 | 3.0 | 135 | 2.3101 | 0.0543 | 0.0555 | 0.0549 |
| 2.1 | 4.0 | 180 | 2.4469 | 0.0624 | 0.0656 | 0.0640 |
| 1.9564 | 5.0 | 225 | 2.8646 | 0.0815 | 0.0817 | 0.0816 |
| 1.8611 | 6.0 | 270 | 2.5597 | 0.1089 | 0.1054 | 0.1071 |
| 1.6702 | 7.0 | 315 | 2.7087 | 0.1644 | 0.1666 | 0.1655 |
| 1.385 | 8.0 | 360 | 2.2718 | 0.2225 | 0.2230 | 0.2228 |
| 1.2518 | 9.0 | 405 | 2.4105 | 0.2134 | 0.2022 | 0.2078 |
| 1.143 | 10.0 | 450 | 2.5834 | 0.1998 | 0.2083 | 0.2040 |
| 1.0191 | 11.0 | 495 | 2.6132 | 0.1856 | 0.1896 | 0.1876 |
| 0.9431 | 12.0 | 540 | 2.8187 | 0.1784 | 0.1872 | 0.1828 |
| 0.8725 | 13.0 | 585 | 2.8360 | 0.1815 | 0.1879 | 0.1847 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- mobilebert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 25, 2023
- Updated
- Jan 25, 2023