condition-Kitchen / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: condition-Kitchen
    results: []

condition-Kitchen

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5140
  • Rmse: 1.8746

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: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rmse
No log 1.0 134 3.5140 1.8746
No log 2.0 268 1.6198 1.2727
No log 3.0 402 0.9386 0.9688
8.1621 4.0 536 0.8200 0.9056
8.1621 5.0 670 0.7409 0.8607

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.1+cu117
  • Datasets 2.10.0
  • Tokenizers 0.13.0