metadata
library_name: transformers
license: mit
base_model: dumitrescustefan/bert-base-romanian-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: teacher_emo
results: []
teacher_emo
This model is a fine-tuned version of dumitrescustefan/bert-base-romanian-cased-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0567
- F1: 0.9342
- Roc Auc: 0.9586
- Accuracy: 0.926
- Precision: 0.9322
- Recall: 0.9365
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|---|---|
| 0.1525 | 1.0 | 1000 | 0.1035 | 0.8945 | 0.9306 | 0.881 | 0.9074 | 0.8835 |
| 0.0692 | 2.0 | 2000 | 0.0659 | 0.9284 | 0.9511 | 0.92 | 0.9370 | 0.922 |
| 0.0476 | 3.0 | 3000 | 0.0571 | 0.9343 | 0.9578 | 0.929 | 0.9377 | 0.9315 |
| 0.0354 | 4.0 | 4000 | 0.0567 | 0.9342 | 0.9586 | 0.926 | 0.9322 | 0.9365 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0