| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: robot22 | |
| 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. --> | |
| # robot22 | |
| This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co./google/vit-base-patch16-224-in21k) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.5674 | |
| - Accuracy: 0.5077 | |
| ## 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: 0.0002 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 3.9154 | 0.23 | 100 | 3.8417 | 0.2213 | | |
| | 3.1764 | 0.47 | 200 | 3.2243 | 0.3201 | | |
| | 2.8186 | 0.7 | 300 | 2.7973 | 0.4284 | | |
| | 2.632 | 0.93 | 400 | 2.5674 | 0.5077 | | |
| ### Framework versions | |
| - Transformers 4.20.1 | |
| - Pytorch 1.12.0 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |