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teacher_moroco – AI Model by mateiaassAI | AlphaNeural AI
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mateiaassAI
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teacher_moroco
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transformers
safetensors
bert
text-classification
generated_from_trainer
moroco
dumitrescustefan/bert-base-romanian-cased-v1
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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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:
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