Downloads · 30 days
14
17% of all-time downloads
my_awesome_propaganda_model
anismahmahi/my_awesome_propaganda_model
my_awesome_propaganda_model is a token classification model from anismahmahi. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
82
Public
Repo size
11.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin735 MB · 98%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024
- SHA
- 25a50755
Try a prompt
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. -->
my_awesome_propaganda_model
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6799
- eval_precision: 0.0639
- eval_recall: 0.0725
- eval_f1: 0.0679
- eval_accuracy: 0.8635
- eval_runtime: 12.6134
- eval_samples_per_second: 66.516
- eval_steps_per_second: 4.202
- epoch: 8.0
- step: 1416
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024