"cmd_list": [
        "python",
        "run_image_classification.py",
        "--model_name_or_path",
        "eslamxm/vit-base-food101",
        "--dataset_name",
        "food101",
        "--output_dir",
        "<output_dir>",
        "--overwrite_output_dir",
        "--remove_unused_columns",
        "False",
        "--do_train",
        "--do_eval",
        "--optim",
        "adamw_torch",
        "--learning_rate",
        "6e-05",
        "--num_train_epochs",
        "3",
        "--dataloader_num_workers",
        "10",
        "--per_device_train_batch_size",
        "64",
        "--gradient_accumulation_steps",
        "2",
        "--per_device_eval_batch_size",
        "128",
        "--logging_strategy",
        "steps",
        "--logging_steps",
        "10",
        "--evaluation_strategy",
        "steps",
        "--eval_steps",
        "500",
        "--save_steps",
        "500",
        "--evaluation_strategy",
        "epoch",
        "--save_strategy",
        "epoch",
        "--load_best_model_at_end",
        "False",
        "--save_total_limit",
        "1",
        "--seed",
        "42",
        "--fp16"
    ]

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 6e-05
train_batch_size: 64
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3687	1.0	592	0.4044	0.8889
0.3422	2.0	1184	0.3911	0.8953
0.3808	3.0	1776	0.3856	0.8971

Framework versions

Transformers 4.27.4
Pytorch 1.13.1
Datasets 2.11.0
Tokenizers 0.13.3

yujiepan/vit-base-patch16-224-food101

vit-base-patch16-224-food101

Model description

Intended uses & limitations

Training and evaluation data

Script

Training procedure

Training hyperparameters

Training results

Framework versions

yujiepan/
vit-base-patch16-224-food101