Downloads · 30 days
5
0% of all-time downloads
bert-base-uncased-disaster_tweetsv1
nitendra1729/bert-base-uncased-disaster_tweetsv1
bert-base-uncased-disaster_tweetsv1 is a text classification model from nitendra1729. 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.
probably proofread and complete it, then remove this comment. --
All-time downloads
1K
Public
Repo size
438 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.h5438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 12, 2023
- Updated
- Oct 30, 2023
- SHA
- 8b200d3c
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
bert-base-uncased-disaster_tweetsv1
This model is a fine-tuned version of bert-base-uncased on disaster tweets dataset of kaggle. It achieves the following results on the evaluation set: 81% accuracy
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:
- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 570, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 12, 2023
- Updated
- Oct 30, 2023