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AV_MAE_2class_complete_lora_DF1M – AI Model by yadvender12 | AlphaNeural AI
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AV_MAE_2class_complete_lora_DF1M
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1726
Accuracy: 0.9642
F1: 0.9641
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 18792
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1843
1.0
18792
0.1726
0.9642
0.9641
Framework versions
PEFT 0.10.0
Transformers 4.37.2
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.1
