Downloads · 30 days
14
1% of all-time downloads
distilroberta-base-wandb-week-3-complaints-classifier-512
Kayvane/distilroberta-base-wandb-week-3-complaints-classifier-512
distilroberta-base-wandb-week-3-complaints-classifier-512 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
1.3K
Public
Repo size
986 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin329 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jul 19, 2022
- Updated
- Jul 19, 2022
- SHA
- 1eb20382
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. -->
distilroberta-base-wandb-week-3-complaints-classifier-512
This model is a fine-tuned version of distilroberta-base on the consumer-finance-complaints dataset. It achieves the following results on the evaluation set:
- Loss: 0.6004
- Accuracy: 0.8038
- F1: 0.7919
- Recall: 0.8038
- Precision: 0.7922
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: 1.7835312622444155e-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: 512
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.7559 | 0.61 | 1500 | 0.7307 | 0.7733 | 0.7411 | 0.7733 | 0.7286 |
| 0.6361 | 1.22 | 3000 | 0.6559 | 0.7846 | 0.7699 | 0.7846 | 0.7718 |
| 0.5774 | 1.83 | 4500 | 0.6004 | 0.8038 | 0.7919 | 0.8038 | 0.7922 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jul 19, 2022
- Updated
- Jul 19, 2022