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---
library_name: transformers
license: mit
base_model: dumitrescustefan/bert-base-romanian-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: teacher_redv2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# teacher_redv2
This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2782
- F1: 0.6913
- Roc Auc: 0.8098
- Accuracy: 0.5764
## 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: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log | 1.0 | 256 | 0.2588 | 0.6200 | 0.7477 | 0.5046 |
| 0.2876 | 2.0 | 512 | 0.2415 | 0.6775 | 0.7939 | 0.5893 |
| 0.2876 | 3.0 | 768 | 0.2473 | 0.6853 | 0.8021 | 0.5948 |
| 0.146 | 4.0 | 1024 | 0.2523 | 0.6885 | 0.7969 | 0.5985 |
| 0.146 | 5.0 | 1280 | 0.2655 | 0.6846 | 0.7975 | 0.5875 |
| 0.083 | 6.0 | 1536 | 0.2778 | 0.6930 | 0.8110 | 0.5838 |
| 0.083 | 7.0 | 1792 | 0.2782 | 0.6913 | 0.8098 | 0.5764 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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