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End of training

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  1. README.md +78 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/vit-base-patch16-224-in21k
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: pose-estimation-crop-uncrop
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+ results: []
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+ ---
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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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+
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+ # pose-estimation-crop-uncrop
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+
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+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1513
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+ - Accuracy: 0.9649
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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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_ratio: 0.1
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.8 | 3 | 0.6639 | 0.7193 |
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+ | No log | 1.87 | 7 | 0.5238 | 0.8421 |
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+ | 0.6164 | 2.93 | 11 | 0.4318 | 0.8246 |
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+ | 0.6164 | 4.0 | 15 | 0.3080 | 0.9474 |
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+ | 0.6164 | 4.8 | 18 | 0.3269 | 0.9123 |
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+ | 0.3439 | 5.87 | 22 | 0.2105 | 0.9649 |
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+ | 0.3439 | 6.93 | 26 | 0.1825 | 0.9649 |
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+ | 0.2371 | 8.0 | 30 | 0.1349 | 0.9649 |
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+ | 0.2371 | 8.8 | 33 | 0.1607 | 0.9649 |
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+ | 0.2371 | 9.87 | 37 | 0.1251 | 0.9825 |
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+ | 0.2196 | 10.93 | 41 | 0.1570 | 0.9825 |
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+ | 0.2196 | 12.0 | 45 | 0.1602 | 0.9649 |
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+ | 0.2196 | 12.8 | 48 | 0.1101 | 0.9825 |
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+ | 0.1576 | 13.87 | 52 | 0.1103 | 1.0 |
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+ | 0.1576 | 14.93 | 56 | 0.1405 | 0.9649 |
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+ | 0.1634 | 16.0 | 60 | 0.1513 | 0.9649 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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