Downloads · 30 days
16
27% of all-time downloads
mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_rte_128
gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_rte_128
mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_rte_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
59
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 6, 2023
- Updated
- Feb 6, 2023
- SHA
- 84c7a199
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_rte_128
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.5452
- Accuracy: 0.4657
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 |
|---|---|---|---|---|
| 0.28 | 1.0 | 1136 | 0.5452 | 0.4657 |
| 0.2191 | 2.0 | 2272 | 0.5774 | 0.4765 |
| 0.2124 | 3.0 | 3408 | 0.5632 | 0.5018 |
| 0.2095 | 4.0 | 4544 | 0.5727 | 0.4982 |
| 0.2076 | 5.0 | 5680 | 0.5487 | 0.4982 |
| 0.2063 | 6.0 | 6816 | 0.5625 | 0.4982 |
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 6, 2023
- Updated
- Feb 6, 2023