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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: condition-Kitchen-swin
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# condition-Kitchen-swin
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 16.3647
- Rmse: 4.0453
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 94 | 17.9745 | 4.2396 |
| No log | 2.0 | 188 | 2.1129 | 1.4536 |
| No log | 3.0 | 282 | 1.6826 | 1.2972 |
| No log | 4.0 | 376 | 1.2371 | 1.1122 |
| No log | 5.0 | 470 | 0.8900 | 0.9434 |
| 6.7108 | 6.0 | 564 | 0.8675 | 0.9314 |
| 6.7108 | 7.0 | 658 | 0.8017 | 0.8954 |
| 6.7108 | 8.0 | 752 | 0.7732 | 0.8793 |
| 6.7108 | 9.0 | 846 | 0.7645 | 0.8743 |
| 6.7108 | 10.0 | 940 | 0.7504 | 0.8663 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.0