aoi_clip_high_resolution_eval
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.7487
- eval_accuracy: 0.0310
- eval_runtime: 33.2426
- eval_samples_per_second: 247.243
- eval_steps_per_second: 6.197
- 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: 1e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 200
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
