mnauf's picture
End of training
ca8aa3c verified
|
raw
history blame
1.51 kB
metadata
library_name: transformers
license: apache-2.0
base_model: facebook/dinov2-large
tags:
  - generated_from_trainer
model-index:
  - name: eval-trueface-dinov2-large-5-epochs-nov_19-baseline
    results: []

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