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assignment4_ModernBertBase_distilled_clinc – AI Model by Maziger1 | AlphaNeural AI
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assignment4_ModernBertBase_distilled_clinc
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transformers
tensorboard
safetensors
modernbert
text-classification
generated_from_trainer
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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assignment4_ModernBertBase_distilled_clinc
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: 0.2197
Accuracy: 0.9442
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
318
0.4283
0.8984
1.1736
2.0
636
0.2833
0.9319
1.1736
3.0
954
0.2288
0.9445
0.048
4.0
1272
0.2198
0.9435
0.0048
5.0
1590
0.2197
0.9442
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
