Downloads · 30 days
12
22% of all-time downloads
mobilebert_sa_GLUE_Experiment_logit_kd_stsb_128
gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_stsb_128
mobilebert_sa_GLUE_Experiment_logit_kd_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. --
All-time downloads
54
Public
Repo size
627 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin78.4 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- mobilebert
- Access
- Public
- Created
- Jan 30, 2023
- Updated
- Jan 30, 2023
- SHA
- 39913a17
Try a prompt
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_logit_kd_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: 1.1533
- Pearson: 0.0554
- Spearmanr: 0.0563
- Combined Score: 0.0558
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 |
|---|---|---|---|---|---|---|
| 2.5973 | 1.0 | 45 | 1.2342 | -0.0353 | -0.0325 | -0.0339 |
| 1.0952 | 2.0 | 90 | 1.1740 | 0.0434 | 0.0419 | 0.0426 |
| 1.0581 | 3.0 | 135 | 1.1533 | 0.0554 | 0.0563 | 0.0558 |
| 1.0455 | 4.0 | 180 | 1.2131 | 0.0656 | 0.0690 | 0.0673 |
| 0.9795 | 5.0 | 225 | 1.3883 | 0.0868 | 0.0858 | 0.0863 |
| 0.9197 | 6.0 | 270 | 1.4141 | 0.1181 | 0.1148 | 0.1165 |
| 0.8182 | 7.0 | 315 | 1.3460 | 0.1771 | 0.1853 | 0.1812 |
| 0.6796 | 8.0 | 360 | 1.1577 | 0.2286 | 0.2340 | 0.2313 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- mobilebert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 30, 2023
- Updated
- Jan 30, 2023