metadata

library_name: transformers
license: mit
base_model: dumitrescustefan/bert-base-romanian-cased-v1
tags:
  - generated_from_trainer
datasets:
  - laroseda
metrics:
  - f1
  - accuracy
  - precision
  - recall
model-index:
  - name: teacher_laroseda
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: laroseda
          type: laroseda
          config: laroseda
          split: train
          args: laroseda
        metrics:
          - name: F1
            type: f1
            value: 0.9509986768928282
          - name: Accuracy
            type: accuracy
            value: 0.951
          - name: Precision
            type: precision
            value: 0.9510144740842682
          - name: Recall
            type: recall
            value: 0.951

teacher_laroseda

This model is a fine-tuned version of dumitrescustefan/bert-base-romanian-cased-v1 on the laroseda dataset. It achieves the following results on the evaluation set:

Loss: 0.1746
F1: 0.9510
Roc Auc: 0.9510
Accuracy: 0.951
Precision: 0.9510
Recall: 0.951

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: 1.7e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy	Precision	Recall
0.2117	1.0	688	0.1362	0.9450	0.9450	0.945	0.9450	0.945
0.1154	2.0	1376	0.1746	0.9510	0.9510	0.951	0.9510	0.951

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0