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modernBERT-large-claim-agent_v4 – AI Model by Inabia-AI | AlphaNeural AI
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Inabia-AI
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modernBERT-large-claim-agent_v4
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-large
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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modernBERT-large-claim-agent_v4
This model is a fine-tuned version of
answerdotai/ModernBERT-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4724
Accuracy: 0.8931
Precision: 0.8293
Recall: 0.8
F1: 0.8144
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: 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
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.2942
1.0
151
0.3334
0.8828
0.8493
0.7294
0.7848
0.2043
2.0
302
0.2839
0.9
0.8415
0.8118
0.8263
0.1109
3.0
453
0.4724
0.8931
0.8293
0.8
0.8144
Framework versions
Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
