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modernbert-large-finetuned-clinc-oos – AI Model by sohayeb | AlphaNeural AI
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sohayeb
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modernbert-large-finetuned-clinc-oos
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-large
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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modernbert-large-finetuned-clinc-oos
This model is a fine-tuned version of
answerdotai/ModernBERT-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1498
Accuracy: 0.9716
F1: 0.9712
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: 32
eval_batch_size: 32
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.8773
1.0
477
0.2045
0.9552
0.9544
0.0449
2.0
954
0.1717
0.9687
0.9683
0.0076
3.0
1431
0.1498
0.9716
0.9712
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
