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modernbert-output-model – AI Model by SunitOutreach | AlphaNeural AI
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SunitOutreach
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modernbert-output-model
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert-output-model
This model is a fine-tuned version of
answerdotai/ModernBERT-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.3891
F1: 0.0003
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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
F1
4.3211
1.0
626
4.3891
0.0003
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.4.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0
