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task1 – AI Model by Monda | AlphaNeural AI
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Monda
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task1
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transformers
safetensors
bert
text-classification
generated_from_trainer
UBC-NLP/MARBERT
finetune
autotrain_compatible
endpoints_compatible
us
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task1
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: 0.6486
Accuracy: 0.7112
Macro F1: 0.6883
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: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
0.773
1.0
345
0.6486
0.7112
0.6883
0.5602
2.0
690
0.7584
0.6880
0.6497
0.3315
3.0
1035
0.9695
0.6720
0.6594
0.196
4.0
1380
1.4219
0.6647
0.6559
0.1183
5.0
1725
1.6137
0.6655
0.6503
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
