universityofbucharest/moroco
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How to use mateiaassAI/teacher_moroco with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="mateiaassAI/teacher_moroco") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("mateiaassAI/teacher_moroco")
model = AutoModelForSequenceClassification.from_pretrained("mateiaassAI/teacher_moroco")This model is a fine-tuned version of dumitrescustefan/bert-base-romanian-cased-v1 on the moroco dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| 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 |
Base model
dumitrescustefan/bert-base-romanian-cased-v1