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egy_modernbert_fineweb2 – AI Model by Ah7med | AlphaNeural AI
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Ah7med
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egy_modernbert_fineweb2
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transformers
safetensors
modernbert
fill-mask
generated_from_trainer
generator
answerdotai/ModernBERT-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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egyptian_modernbert_fineweb2
This model is a fine-tuned version of
answerdotai/ModernBERT-base
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 4.7130
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: 3
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
12.73
1.3333
3000
5.0130
11.0962
2.6667
6000
4.7130
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
