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ModernBERT-base-dreaddit-mlm-30 – AI Model by andreagasparini | AlphaNeural AI
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andreagasparini
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ModernBERT-base-dreaddit-mlm-30
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transformers
safetensors
modernbert
fill-mask
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ModernBERT-base-dreaddit-mlm-30
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: 1.6344
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: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.7013
1.0
178
1.6770
1.6434
2.0
356
1.6867
1.6133
3.0
534
1.7213
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.5.0+cu124
Datasets 3.1.0
Tokenizers 0.21.0
