AV_MAE_task1_256_DF1M_epoch2

This model is a fine-tuned version of yadvender12/AV_MAE_task1_256_DF1M on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3055
• Accuracy: 0.8812
• F1: 0.8807

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: 25000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3319	0.5	12500	0.3159	0.8588	0.8579
0.3533	1.5	25000	0.3055	0.8812	0.8807

Framework versions

• Transformers 4.33.3
• Pytorch 2.2.1+cu118
• Datasets 2.16.1
• Tokenizers 0.13.3