---
base_model: TurkuNLP/bert-base-finnish-uncased-v1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-finnish-sentiment-analysis-v2
  results: []
---

<!-- 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](https://huggingface.co/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