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