README.md

metadata

library_name: peft
tags:
  - generated_from_trainer
base_model: yadvender12/AV_MAE_2class_complete_DF1M
metrics:
  - accuracy
  - f1
model-index:
  - name: AV_MAE_2class_complete_lora_DF1M
    results: []

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