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mobilebert_add_GLUE_Experiment_stsb
gokuls/mobilebert_add_GLUE_Experiment_stsb
mobilebert_add_GLUE_Experiment_stsb 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 27, 2023
- Updated
- Jan 27, 2023
- SHA
- 0e3f68cf
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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_add_GLUE_Experiment_stsb
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: 2.3720
- Pearson: 0.0872
- Spearmanr: 0.0832
- Combined Score: 0.0852
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 |
|---|---|---|---|---|---|---|
| 3.5023 | 1.0 | 45 | 2.4151 | 0.0290 | 0.0235 | 0.0262 |
| 2.148 | 2.0 | 90 | 2.4051 | 0.0483 | 0.0436 | 0.0460 |
| 2.1403 | 3.0 | 135 | 2.7281 | 0.0523 | 0.0502 | 0.0513 |
| 2.0908 | 4.0 | 180 | 2.5970 | 0.0511 | 0.0509 | 0.0510 |
| 2.0699 | 5.0 | 225 | 2.5728 | 0.0601 | 0.0621 | 0.0611 |
| 2.0307 | 6.0 | 270 | 2.4059 | 0.0700 | 0.0781 | 0.0740 |
| 1.9823 | 7.0 | 315 | 2.3720 | 0.0872 | 0.0832 | 0.0852 |
| 1.9283 | 8.0 | 360 | 2.4539 | 0.0836 | 0.0814 | 0.0825 |
| 1.9014 | 9.0 | 405 | 2.3975 | 0.0950 | 0.0915 | 0.0932 |
| 1.883 | 10.0 | 450 | 2.6096 | 0.0894 | 0.0876 | 0.0885 |
| 1.8453 | 11.0 | 495 | 2.4121 | 0.0970 | 0.0912 | 0.0941 |
| 1.8275 | 12.0 | 540 | 2.6028 | 0.1038 | 0.0920 | 0.0979 |
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 27, 2023
- Updated
- Jan 27, 2023