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
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Model tree for mnauf/eval-trueface-dinov2-large-5-epochs-nov_19-baseline
Base model
facebook/dinov2-large