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domesticabuse – AI Model by debjit-coder | AlphaNeural AI
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domesticabuse
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peft
safetensors
generated_from_trainer
FacebookAI/roberta-base
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domesticabuse
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0504
Accuracy: 0.9856
F1: 0.9020
Precision: 0.8734
Recall: 0.9324
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: 0.0003
train_batch_size: 32
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.2+cu118
Datasets 4.4.1
Tokenizers 0.15.2
