Downloads · 30 days
53
2% of all-time downloads
bert-finnish-sentiment-analysis-v2
nisancoskun/bert-finnish-sentiment-analysis-v2
bert-finnish-sentiment-analysis-v2 is a text classification model from nisancoskun. 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
2.7K
Public
Parameters
125M
996 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin498 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 15, 2024
- Updated
- Oct 19, 2025
- SHA
- a3a3eb5e
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. -->
bert-finnish-sentiment-analysis-v2
This model is a fine-tuned version of TurkuNLP/bert-base-finnish-uncased-v1 on the nisancoskun/finnish_sentiment_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.2362
- Accuracy: 0.9578
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3163 | 1.0 | 994 | 0.2892 | 0.9283 |
| 0.1355 | 2.0 | 1988 | 0.2663 | 0.9470 |
| 0.037 | 3.0 | 2982 | 0.2362 | 0.9578 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 15, 2024
- Updated
- Oct 19, 2025