ShuaHousetable
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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: condition-Kitchen
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# condition-Kitchen
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5182
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- Rmse: 0.7199
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rmse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 134 | 0.4722 | 0.6872 |
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| No log | 2.0 | 268 | 0.2650 | 0.5148 |
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| No log | 3.0 | 402 | 0.5182 | 0.7199 |
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| 0.6773 | 4.0 | 536 | 0.2780 | 0.5272 |
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| 0.6773 | 5.0 | 670 | 0.1946 | 0.4412 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.10.0
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- Tokenizers 0.13.0
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