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modernbert-llm-router_new – AI Model by Rohit330 | AlphaNeural AI
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Rohit330
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modernbert-llm-router_new
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transformers
tensorboard
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert-llm-router_new
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: nan
F1: 0.0003
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: 32
eval_batch_size: 16
seed: 42
optimizer: Use 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
F1
0.0
1.0
313
nan
0.0003
0.0
2.0
626
nan
0.0003
0.0
3.0
939
nan
0.0003
0.0
4.0
1252
nan
0.0003
0.0
5.0
1565
nan
0.0003
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.21.0
