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  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-large-patch16-384
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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: beit-large-patch16-384-limb-person-crop-8_5e-5_5e-4_0.15
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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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+ # beit-large-patch16-384-limb-person-crop-8_5e-5_5e-4_0.15
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+
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+ This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3567
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+ - Accuracy: 0.3383
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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: 2014
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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: 10.0
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+ - mixed_precision_training: Native AMP
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+ - label_smoothing_factor: 0.15
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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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+ | 1.3404 | 1.0 | 214 | 1.4186 | 0.3980 |
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+ | 1.1899 | 2.0 | 428 | 1.0403 | 0.6443 |
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+ | 1.3962 | 3.0 | 642 | 1.3858 | 0.2745 |
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+ | 1.3914 | 4.0 | 856 | 1.3881 | 0.2745 |
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+ | 1.3868 | 5.0 | 1070 | 1.3848 | 0.2761 |
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+ | 1.3895 | 6.0 | 1284 | 1.3867 | 0.2745 |
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+ | 1.3871 | 7.0 | 1498 | 1.3830 | 0.2745 |
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+ | 1.3802 | 8.0 | 1712 | 1.3788 | 0.2927 |
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+ | 1.3745 | 9.0 | 1926 | 1.3675 | 0.3201 |
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+ | 1.356 | 10.0 | 2140 | 1.3567 | 0.3383 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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