Downloads · 30 days
9
1% of all-time downloads
responsible_iddistilbert-base-uncased
mi23/responsible_iddistilbert-base-uncased
responsible_iddistilbert-base-uncased is a text classification model from mi23. 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
1K
Public
Repo size
167 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt536 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 7, 2023
- Updated
- Sep 7, 2023
- SHA
- 156c75e3
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. -->
responsible_iddistilbert-base-uncased
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5066
- Accuracy: 0.5215
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: 160
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 1920
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 512.0
Training results
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 7, 2023
- Updated
- Sep 7, 2023