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fold_4 – AI Model by MM2157 | AlphaNeural AI | AlphaNeural AI
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MM2157
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fold_4
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transformers
safetensors
bert
text-classification
generated_from_trainer
UBC-NLP/MARBERT
finetune
endpoints_compatible
us
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fold_4
This model is a fine-tuned version of
UBC-NLP/MARBERT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4025
Macro F1: 0.8920
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
Macro F1
0.9836
1.0
87
0.5345
0.7540
0.3982
2.0
174
0.3769
0.8723
0.2025
3.0
261
0.3329
0.8814
0.1355
4.0
348
0.3793
0.8971
0.0506
5.0
435
0.4025
0.8920
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
