Downloads · 30 days
9
1% of all-time downloads
roberta-base-spam-detector
0x7o/roberta-base-spam-detector
roberta-base-spam-detector is a text classification model from 0x7o. 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.
This model is a fine-tuned version of roberta-base on the 0x7194633/spamdetector dataset. It achieves the following results on the evaluation set: - evalloss: 0.0211 - evalaccuracy: 0.9979 - evalf1: 0.9980 - evalpreci…
All-time downloads
986
Public
Repo size
997 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 9, 2023
- Updated
- Apr 9, 2023
- SHA
- a941127c
Try a prompt
Datasets
Model card
From the Hugging Face model README
roberta-base-spam-detector
This model is a fine-tuned version of roberta-base on the 0x7194633/spam_detector dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0211
- eval_accuracy: 0.9979
- eval_f1: 0.9980
- eval_precision: 0.9960
- eval_recall: 1.0
- eval_runtime: 30.7625
- eval_samples_per_second: 30.882
- eval_steps_per_second: 1.95
- epoch: 1.16
- step: 1446
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- 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
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Apr 9, 2023
- Updated
- Apr 9, 2023