Downloads · 30 days
844
3% of all-time downloads
local_politics
nruigrok/local_politics
local_politics is a text classification model from nruigrok. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
28.6K
Public
Repo size
1.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin437 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 4, 2023
- Updated
- Aug 9, 2023
- SHA
- 08734042
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_model
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4758
- F1: 0.9017
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: 16
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 220 | 0.1520 | 0.8825 |
| No log | 2.0 | 440 | 0.2150 | 0.9041 |
| 0.1543 | 3.0 | 660 | 0.2199 | 0.9104 |
| 0.1543 | 4.0 | 880 | 0.3506 | 0.8988 |
| 0.0418 | 5.0 | 1100 | 0.4256 | 0.8930 |
| 0.0418 | 6.0 | 1320 | 0.3492 | 0.9037 |
| 0.0178 | 7.0 | 1540 | 0.3244 | 0.9092 |
| 0.0178 | 8.0 | 1760 | 0.4016 | 0.9044 |
| 0.0178 | 9.0 | 1980 | 0.4155 | 0.8985 |
| 0.0135 | 10.0 | 2200 | 0.4235 | 0.9008 |
| 0.0135 | 11.0 | 2420 | 0.4109 | 0.9084 |
| 0.0084 | 12.0 | 2640 | 0.4400 | 0.9032 |
| 0.0084 | 13.0 | 2860 | 0.4518 | 0.9064 |
| 0.0046 | 14.0 | 3080 | 0.4740 | 0.9017 |
| 0.0046 | 15.0 | 3300 | 0.4758 | 0.9017 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 4, 2023
- Updated
- Aug 9, 2023