Downloads · 30 days
19
5% of all-time downloads
mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_128
gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_128
mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_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
378
Public
Repo size
470 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
- Feb 7, 2023
- Updated
- Feb 7, 2023
- SHA
- 533f6baf
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_data_aug_wnli_128
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.5913
- Accuracy: 0.1408
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 | Accuracy |
|---|---|---|---|---|
| 0.3404 | 1.0 | 435 | 0.5913 | 0.1408 |
| 0.3027 | 2.0 | 870 | 0.5985 | 0.1127 |
| 0.2935 | 3.0 | 1305 | 0.6351 | 0.1127 |
| 0.2884 | 4.0 | 1740 | 0.6013 | 0.0986 |
| 0.2838 | 5.0 | 2175 | 0.6154 | 0.0986 |
| 0.2788 | 6.0 | 2610 | 0.6608 | 0.0845 |
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
- Feb 7, 2023
- Updated
- Feb 7, 2023