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TriageAutomationModel_v6.1 – AI Model by BIctminh | AlphaNeural AI
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BIctminh
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TriageAutomationModel_v6.1
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transformers
safetensors
roberta
text-classification
generated_from_trainer
BIctminh/results_FBBert_20260611
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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TriageAutomationModel_v6.1
This model is a fine-tuned version of
BIctminh/results_FBBert_20260611
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7050
F1: 0.8269
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
num_epochs: 4
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.20.3
