segformer-head-o1

This model is a fine-tuned version of nvidia/mit-b0 on the adwardnguyen/face-ds dataset. It achieves the following results on the evaluation set:

• Loss: 0.2872

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss
0.2841	20.0	20	0.3039
0.2639	40.0	40	0.3148
0.2576	60.0	60	0.2811
0.2546	80.0	80	0.2840
0.2681	100.0	100	0.2872

Framework versions

• Transformers 4.50.1
• Pytorch 2.6.0
• Datasets 3.4.1
• Tokenizers 0.21.1