Downloads · 30 days
9
2% of all-time downloads
distilbert-complaints-wandb
Kayvane/distilbert-complaints-wandb
distilbert-complaints-wandb is a text classification model from Kayvane. 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
542
Public
Repo size
804 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jul 3, 2022
- Updated
- Jul 3, 2022
- SHA
- 7be5890e
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. -->
distilbert-complaints-wandb
This model is a fine-tuned version of distilbert-base-uncased on the consumer-finance-complaints dataset. It achieves the following results on the evaluation set:
- Loss: 0.4448
- Accuracy: 0.8689
- F1: 0.8631
- Recall: 0.8689
- Precision: 0.8616
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.571 | 0.51 | 2000 | 0.5150 | 0.8469 | 0.8349 | 0.8469 | 0.8249 |
| 0.4765 | 1.01 | 4000 | 0.4676 | 0.8561 | 0.8451 | 0.8561 | 0.8376 |
| 0.3376 | 1.52 | 6000 | 0.4560 | 0.8609 | 0.8546 | 0.8609 | 0.8547 |
| 0.268 | 2.03 | 8000 | 0.4399 | 0.8684 | 0.8611 | 0.8684 | 0.8607 |
| 0.2654 | 2.53 | 10000 | 0.4448 | 0.8689 | 0.8631 | 0.8689 | 0.8616 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 3, 2022
- Updated
- Jul 3, 2022