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modernBERT-large-claim-agent_v8_weighted – AI Model by Inabia-AI | AlphaNeural AI
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Inabia-AI
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modernBERT-large-claim-agent_v8_weighted
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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_v8_weighted
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: 0.0079
Accuracy: 0.9979
Precision: 0.9902
Recall: 0.9902
F1: 0.9902
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: 8
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
Framework versions
Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
