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End of training

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  1. README.md +72 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
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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: 0.50-800Train-100Test-beit-base
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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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+ # 0.50-800Train-100Test-beit-base
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+
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+ This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7501
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+ - Accuracy: 0.8192
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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: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 512
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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: 10
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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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+ | 0.7627 | 0.9536 | 18 | 0.6991 | 0.7860 |
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+ | 0.3414 | 1.9603 | 37 | 0.5881 | 0.8070 |
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+ | 0.1402 | 2.9669 | 56 | 0.5879 | 0.8114 |
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+ | 0.0663 | 3.9735 | 75 | 0.6249 | 0.8175 |
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+ | 0.0377 | 4.9801 | 94 | 0.6539 | 0.8210 |
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+ | 0.0314 | 5.9868 | 113 | 0.7074 | 0.8175 |
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+ | 0.0189 | 6.9934 | 132 | 0.7596 | 0.8210 |
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+ | 0.0147 | 8.0 | 151 | 0.7211 | 0.8253 |
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+ | 0.0157 | 8.9536 | 169 | 0.7412 | 0.8166 |
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+ | 0.0095 | 9.5364 | 180 | 0.7501 | 0.8192 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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