---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: romanian_bert-finetuned-on-REDv2-romanian
  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. -->

# romanian_bert-finetuned-on-REDv2-romanian

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: 0.2788
- F1: 0.6915
- Roc Auc: 0.8084
- Accuracy: 0.5801

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.32          | 1.0   | 511  | 0.2475          | 0.6561 | 0.7697  | 0.5433   |
| 0.2069        | 2.0   | 1022 | 0.2434          | 0.6661 | 0.7827  | 0.5672   |
| 0.1433        | 3.0   | 1533 | 0.2548          | 0.6891 | 0.8026  | 0.5856   |
| 0.0968        | 4.0   | 2044 | 0.2677          | 0.6847 | 0.8050  | 0.5727   |
| 0.0758        | 5.0   | 2555 | 0.2788          | 0.6915 | 0.8084  | 0.5801   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2