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ModernBERT-base-distilled-Optuna – AI Model by Emil7018 | AlphaNeural AI
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Emil7018
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ModernBERT-base-distilled-Optuna
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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ModernBERT-base-distilled-Optuna
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: 1.1815
Accuracy: 0.8878
F1: 0.8837
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: 2e-05
train_batch_size: 48
eval_batch_size: 48
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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
5.2624
1.0
318
2.4553
0.9029
0.9001
1.7423
2.0
636
1.3311
0.9397
0.9387
1.0175
3.0
954
1.0368
0.9513
0.9505
0.7953
4.0
1272
0.9595
0.9519
0.9513
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
