metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-large-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: germanic_populist_eng_bert
results: []
germanic_populist_eng_bert
This model is a fine-tuned version of google-bert/bert-large-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3065
- Accuracy: 0.9476
- F1: 0.4655
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1562 | 1.0 | 701 | 0.1284 | 0.9433 | 0.4718 |
| 0.0803 | 2.0 | 1402 | 0.1900 | 0.9511 | 0.5193 |
| 0.0469 | 3.0 | 2103 | 0.3065 | 0.9476 | 0.4655 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3