---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: valueeval24-bert-baseline-toy-2024-02-27
  results: []
---

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# valueeval24-bert-baseline-toy-2024-02-27

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5633
- F1-score: {'Self-direction: thought attained': 0.67, 'Self-direction: thought constrained': 0, 'Self-direction: action attained': 0, 'Self-direction: action constrained': 0, 'Stimulation attained': 0, 'Stimulation constrained': 0, 'Hedonism attained': 0, 'Hedonism constrained': 0, 'Achievement attained': 0.33, 'Achievement constrained': 0, 'Power: dominance attained': 0, 'Power: dominance constrained': 0, 'Power: resources attained': 0, 'Power: resources constrained': 0, 'Face attained': 0, 'Face constrained': 0, 'Security: personal attained': 0, 'Security: personal constrained': 0, 'Security: societal attained': 0, 'Security: societal constrained': 0, 'Tradition attained': 0, 'Tradition constrained': 0, 'Conformity: rules attained': 0, 'Conformity: rules constrained': 0, 'Conformity: interpersonal attained': 0.57, 'Conformity: interpersonal constrained': 0, 'Humility attained': 0, 'Humility constrained': 0, 'Benevolence: caring attained': 0, 'Benevolence: caring constrained': 0, 'Benevolence: dependability attained': 0, 'Benevolence: dependability constrained': 1.0, 'Universalism: concern attained': 0, 'Universalism: concern constrained': 0, 'Universalism: nature attained': 0, 'Universalism: nature constrained': 0, 'Universalism: tolerance attained': 0, 'Universalism: tolerance constrained': 0}
- Marco-avg-f1-score: 0.07

## 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: 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: 20

### Training results



### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2