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modernfinbert-usdmyr – AI Model by dummfak | AlphaNeural AI
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modernfinbert-usdmyr
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
tabularisai/ModernFinBERT
finetune
apache-2.0
endpoints_compatible
us
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modernfinbert-usdmyr
This model is a fine-tuned version of
tabularisai/ModernFinBERT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9306
Accuracy: 0.6745
Macro F1: 0.5724
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
0.6993
1.0
139
0.8020
0.6790
0.5483
0.3628
2.0
278
0.9306
0.6745
0.5724
Framework versions
Transformers 5.10.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
