Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
ml_mbert_1024_v4 – AI Model by Dawn123666 | AlphaNeural AI
You can deploy this model and start earning money today!
Dawn123666
/
ml_mbert_1024_v4
like
0
transformers
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ml_mbert_1024_v4
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: 0.1736
F1: 0.8747
Precision: 0.8464
Recall: 0.9049
Accuracy: 0.9482
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: 16
eval_batch_size: 16
seed: 45
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_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: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Precision
Recall
Accuracy
1.3084
1.0
123
0.1798
0.8548
0.8218
0.8905
0.9395
0.678
2.0
246
0.1684
0.8634
0.8208
0.9107
0.9424
0.5219
3.0
369
0.1736
0.8747
0.8464
0.9049
0.9482
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.5.0
Tokenizers 0.22.1
