metadata
library_name: transformers
license: mit
base_model: dumitrescustefan/bert-base-romanian-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: teacher_sst2
results: []
teacher_sst2
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: 0.5451
- F1: 0.8648
- Roc Auc: 0.8646
- Accuracy: 0.8635
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|
| 0.3669 | 1.0 | 1053 | 0.4399 | 0.8248 | 0.8238 | 0.8211 |
| 0.2433 | 2.0 | 2106 | 0.4043 | 0.8457 | 0.8458 | 0.8417 |
| 0.1811 | 3.0 | 3159 | 0.4268 | 0.8625 | 0.8622 | 0.8612 |
| 0.1373 | 4.0 | 4212 | 0.4359 | 0.8537 | 0.8545 | 0.8521 |
| 0.1157 | 5.0 | 5265 | 0.4812 | 0.8681 | 0.8684 | 0.8681 |
| 0.0949 | 6.0 | 6318 | 0.5003 | 0.8607 | 0.8604 | 0.8601 |
| 0.0774 | 7.0 | 7371 | 0.5142 | 0.8643 | 0.8641 | 0.8624 |
| 0.0713 | 8.0 | 8424 | 0.5451 | 0.8648 | 0.8646 | 0.8635 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0