Downloads · 30 days
8
2% of all-time downloads
Setfit-finetuned-classifier
Kuaaangwen/Setfit-finetuned-classifier
Setfit-finetuned-classifier is a text classification model from Kuaaangwen. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
390
Public
Repo size
2.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- mpnet
- Access
- Public
- Created
- Dec 29, 2022
- Updated
- Dec 29, 2022
- SHA
- 6e931e92
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. -->
Setfit-finetuned-classifier
This model is a fine-tuned version of Kuaaangwen/Setfit-few-shot-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3147
- Accuracy: 0.9854
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 69 | 2.6990 | 0.8832 |
| No log | 2.0 | 138 | 2.3147 | 0.9854 |
| No log | 3.0 | 207 | 2.0378 | 0.9489 |
| No log | 4.0 | 276 | 1.8422 | 0.9635 |
| No log | 5.0 | 345 | 1.6889 | 0.9781 |
| No log | 6.0 | 414 | 1.5720 | 0.9708 |
| No log | 7.0 | 483 | 1.4913 | 0.9781 |
| 2.0817 | 8.0 | 552 | 1.4335 | 0.9708 |
| 2.0817 | 9.0 | 621 | 1.3979 | 0.9781 |
| 2.0817 | 10.0 | 690 | 1.3872 | 0.9854 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- mpnet
- Created
- Dec 29, 2022
- Updated
- Dec 29, 2022