Downloads · 30 days
30
2% of all-time downloads
MiniLM-L12-H384-uncased__sst2__all-train
SetFit/MiniLM-L12-H384-uncased__sst2__all-train
MiniLM-L12-H384-uncased__sst2__all-train is a text classification model from SetFit. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.3K
Public
Repo size
801 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin134 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 26, 2022
- SHA
- 0d37980e
Try a prompt
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. -->
MiniLM-L12-H384-uncased__sst2__all-train
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2632
- Accuracy: 0.9055
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4183 | 1.0 | 433 | 0.3456 | 0.8720 |
| 0.2714 | 2.0 | 866 | 0.2632 | 0.9055 |
| 0.2016 | 3.0 | 1299 | 0.3357 | 0.8990 |
| 0.1501 | 4.0 | 1732 | 0.4474 | 0.8863 |
| 0.1119 | 5.0 | 2165 | 0.3998 | 0.8979 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu102
- Datasets 1.17.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 2, 2022
- Updated
- Jan 26, 2022