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MarBERT-finetuned-CrossVal-fnd – AI Model by lamaabdulaziz | AlphaNeural AI
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MarBERT-finetuned-CrossVal-fnd
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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MarBERT-finetuned-CrossVal-fnd
This model is a fine-tuned version of
UBC-NLP/MARBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3192
Macro F1: 0.8548
Accuracy: 0.8604
Precision: 0.8576
Recall: 0.8526
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: 123
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Macro F1
Accuracy
Precision
Recall
0.4936
1.0
1597
0.3589
0.8364
0.8431
0.8401
0.8337
0.3431
2.0
3194
0.3192
0.8548
0.8604
0.8576
0.8526
0.233
3.0
4791
0.3914
0.8502
0.8547
0.8495
0.8509
Framework versions
Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
