Downloads · 30 days
18
2% of all-time downloads
bert-finnish-sentiment-analysis
nisancoskun/bert-finnish-sentiment-analysis
bert-finnish-sentiment-analysis 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
868
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 14, 2024
- Updated
- Nov 6, 2024
- SHA
- 9cb3ccd8
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
This model is a fine-tuned version of TurkuNLP/bert-base-finnish-uncased-v1 on the sepidmnorozy/Finnish_sentiment dataset. It achieves the following results on the evaluation set:
- Loss: 0.2230
- Accuracy: 0.9597
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 |
|---|---|---|---|---|
| 0.2733 | 1.0 | 554 | 0.2114 | 0.9400 |
| 0.1241 | 2.0 | 1108 | 0.2322 | 0.9519 |
| 0.0587 | 3.0 | 1662 | 0.2230 | 0.9597 |
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 14, 2024
- Updated
- Nov 6, 2024