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modernbert-base-sp-vocab-extend-70000-cl-wiki-da-orcamath – AI Model by Unggi | AlphaNeural AI
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Unggi
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modernbert-base-sp-vocab-extend-70000-cl-wiki-da-orcamath
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transformers
safetensors
modernbert
fill-mask
generated_from_trainer
EnumaInc/modernbert-base-sp-vocab-extend-70000-cl-wiki
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert-base-sp-vocab-extend-70000-cl-wiki-da-orcamath
This model is a fine-tuned version of
EnumaInc/modernbert-base-sp-vocab-extend-70000-cl-wiki
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4839
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 128
total_train_batch_size: 512
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
lr_scheduler_warmup_steps: 1000
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.4.1+cu124
Datasets 3.3.2
Tokenizers 0.21.1
