my_awesome_food_model

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my_awesome_food_model

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.3649
• eval_accuracy: 0.619
• eval_runtime: 15.7164
• eval_samples_per_second: 63.628
• eval_steps_per_second: 4.009
• epoch: 3.0
• step: 189

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.1
• num_epochs: 5

Framework versions

• Transformers 5.13.1
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2