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---
library_name: transformers
license: mit
base_model: dumitrescustefan/bert-base-romanian-cased-v1
tags:
- generated_from_trainer
datasets:
- moroco
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: teacher_moroco
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: moroco
type: moroco
config: moroco
split: validation
args: moroco
metrics:
- name: F1
type: f1
value: 0.8683940771433114
- name: Accuracy
type: accuracy
value: 0.8485053200472893
- name: Precision
type: precision
value: 0.8698117604818486
- name: Recall
type: recall
value: 0.8672521533524743
---
<!-- 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_moroco
This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) on the moroco dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1075
- F1: 0.8684
- Roc Auc: 0.9149
- Accuracy: 0.8485
- Precision: 0.8698
- Recall: 0.8673
## 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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:|
| 0.1332 | 1.0 | 1358 | 0.1120 | 0.8630 | 0.9075 | 0.8428 | 0.8822 | 0.8456 |
| 0.0935 | 2.0 | 2716 | 0.1075 | 0.8684 | 0.9149 | 0.8485 | 0.8698 | 0.8673 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
|