eval-trueface-dinov2-large-5-epochs-nov_19-baseline

This model is a fine-tuned version of facebook/dinov2-large on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.9384
• eval_model_preparation_time: 0.0055
• eval_accuracy: 0.5680
• eval_runtime: 1478.4624
• eval_samples_per_second: 14.204
• eval_steps_per_second: 0.444
• step: 0

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: 32
• eval_batch_size: 32
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0