Downloads · 30 days
7
2% of all-time downloads
FakeNews-bert-large-cased-grad
Denyol/FakeNews-bert-large-cased-grad
FakeNews-bert-large-cased-grad is a text classification model from Denyol. 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
357
Public
Parameters
334M
6.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 6, 2023
- Updated
- Nov 6, 2023
- SHA
- f62e2d44
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. -->
FakeNews-bert-large-cased-grad
This model is a fine-tuned version of bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1237
- Accuracy: 0.9743
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3266 | 1.0 | 802 | 0.1648 | 0.9621 |
| 0.1194 | 2.0 | 1605 | 0.1535 | 0.9682 |
| 0.0844 | 3.0 | 2407 | 0.1237 | 0.9743 |
| 0.0248 | 4.0 | 3210 | 0.1537 | 0.9706 |
| 0.0137 | 5.0 | 4010 | 0.1473 | 0.9748 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 6, 2023
- Updated
- Nov 6, 2023