metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-finetuned-Age
results: []
bert-finetuned-Age
This model is a fine-tuned version of dbmdz/bert-base-french-europeana-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4642
- F1: 0.7254
- Roc Auc: 0.7940
- Accuracy: 0.7249
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.4564 | 1.0 | 965 | 0.4642 | 0.7254 | 0.7940 | 0.7254 |
| 0.4443 | 2.0 | 1930 | 0.4662 | 0.7254 | 0.7940 | 0.7254 |
| 0.4388 | 3.0 | 2895 | 0.4628 | 0.7254 | 0.7940 | 0.7254 |
| 0.4486 | 4.0 | 3860 | 0.4642 | 0.7254 | 0.7940 | 0.7249 |
| 0.4287 | 5.0 | 4825 | 0.4958 | 0.7214 | 0.7907 | 0.7150 |
| 0.4055 | 6.0 | 5790 | 0.5325 | 0.6961 | 0.7715 | 0.6782 |
| 0.3514 | 7.0 | 6755 | 0.5588 | 0.6586 | 0.7443 | 0.6223 |
| 0.3227 | 8.0 | 7720 | 0.5944 | 0.6625 | 0.7470 | 0.6295 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1