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router-mmBERT-base-v1-text-only – AI Model by AmirMohseni | AlphaNeural AI
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AmirMohseni
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router-mmBERT-base-v1-text-only
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
jhu-clsp/mmBERT-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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router-mmBERT-base-v1-text-only
This model is a fine-tuned version of
jhu-clsp/mmBERT-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5214
Accuracy: 0.7443
Precision: 0.7398
Recall: 0.7443
F1: 0.7408
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: 0.0001
train_batch_size: 8
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
2.6159
0.4545
20
0.5460
0.7330
0.7350
0.7330
0.7091
2.451
0.9091
40
0.5214
0.7443
0.7398
0.7443
0.7408
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.2.0
Tokenizers 0.22.1
