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roberta-bug-classifier-v2 – AI Model by EmreDinc | AlphaNeural AI
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EmreDinc
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roberta-bug-classifier-v2
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
endpoints_compatible
us
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roberta-bug-classifier-v2
This model is a fine-tuned version of
roberta-large
on an unknown dataset.
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: 2
total_train_batch_size: 16
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
No log
4.1702
100
0.6811
0.4624
0.4549
0.6610
0.4624
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
