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# bert-finnish-sentiment-analysis

This model is a fine-tuned version of [TurkuNLP/bert-base-finnish-uncased-v1](https://huggingface.co/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

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "TurkuNLP/bert-base-finnish-uncased-v1", "model-index": [{"name": "bert-finnish-sentiment-analysis", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:TurkuNLP/bert-base-finnish-uncased-v1 autotrain_compatible endpoints_compatible region:us