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ftm-zone-classifier – AI Model by fixthemusic | AlphaNeural AI
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fixthemusic
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ftm-zone-classifier
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transformers
safetensors
modernbert
token-classification
generated_from_trainer
jhu-clsp/mmBERT-base
finetune
mit
endpoints_compatible
us
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ftm-zone-classifier
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: 0.6612
Precision: 0.7275
Recall: 0.7115
F1: 0.7194
Accuracy: 0.8238
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
label_smoothing_factor: 0.05
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.6579
1.0
342
0.6704
0.6634
0.7273
0.6939
0.8184
0.6339
2.0
684
0.6612
0.7275
0.7115
0.7194
0.8238
0.6074
3.0
1026
0.6346
0.6937
0.7209
0.7071
0.8255
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.2
