Downloads · 30 days
4
16% of all-time downloads
chatbot_question_classification
hoangthethief/chatbot_question_classification
chatbot_question_classification is a text classification model from hoangthethief. 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
25
Public
Parameters
33.4M
133 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors133 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 8, 2024
- Updated
- Mar 8, 2024
- SHA
- 14b27fba
Try a prompt
Base models
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. -->
v_best_model
This model is a fine-tuned version of Supabase/gte-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0734
- Accuracy: 0.9990
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: 0.0001
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2837 | 1.0 | 62 | 0.6846 | 0.9231 |
| 0.448 | 2.0 | 124 | 0.2268 | 0.9808 |
| 0.1566 | 3.0 | 186 | 0.1397 | 0.9808 |
| 0.0879 | 4.0 | 248 | 0.1302 | 0.9808 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 8, 2024
- Updated
- Mar 8, 2024