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mobilebert_sa_GLUE_Experiment_stsb_256
gokuls/mobilebert_sa_GLUE_Experiment_stsb_256
mobilebert_sa_GLUE_Experiment_stsb_256 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
- 2b6ed5f6
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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_256
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: 2.2966
- Pearson: 0.0077
- Spearmanr: 0.0083
- Combined Score: 0.0080
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 |
|---|---|---|---|---|---|---|
| 4.155 | 1.0 | 45 | 2.2966 | 0.0077 | 0.0083 | 0.0080 |
| 2.1654 | 2.0 | 90 | 2.3384 | 0.0600 | 0.0633 | 0.0616 |
| 2.0822 | 3.0 | 135 | 2.3583 | 0.0625 | 0.0718 | 0.0671 |
| 2.0017 | 4.0 | 180 | 2.7680 | 0.0721 | 0.0753 | 0.0737 |
| 1.9379 | 5.0 | 225 | 2.7330 | 0.0963 | 0.0919 | 0.0941 |
| 1.785 | 6.0 | 270 | 2.3938 | 0.1605 | 0.1497 | 0.1551 |
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