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modernbert-clinc-ass4 – AI Model by lcaragiov | AlphaNeural AI
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lcaragiov
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modernbert-clinc-ass4
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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-clinc-ass4
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: 0.1764
Accuracy: 0.9687
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 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
1.8171
1.0
954
0.3064
0.9326
0.0802
2.0
1908
0.1980
0.9681
0.0137
3.0
2862
0.1764
0.9687
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
