AV_MAE_task2_8_DF1M

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3903
• Accuracy: 0.8924
• F1: 0.8831

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: 13750
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3724	1.0	13750	0.3903	0.8924	0.8831

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.1