Downloads · 30 days
8
16% of all-time downloads
check-in-quality-classifier
mjpsm/check-in-quality-classifier
check-in-quality-classifier is a text classification model from mjpsm. 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
50
Public
Parameters
67M
536 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 9, 2025
- Updated
- Oct 9, 2025
- SHA
- 6c547a31
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. -->
check-in-quality-classifier
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8464
- Accuracy: 0.7143
- F1: 0.6857
- Precision: 0.6746
- Recall: 0.7143
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 21 | 0.9602 | 0.2857 | 0.1270 | 0.0816 | 0.2857 |
| No log | 2.0 | 42 | 0.8913 | 0.5238 | 0.4891 | 0.6302 | 0.5238 |
| No log | 3.0 | 63 | 0.8464 | 0.7143 | 0.6857 | 0.6746 | 0.7143 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 9, 2025
- Updated
- Oct 9, 2025