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Image Classification
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Safetensors
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vit
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Eval Results (legacy)
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google/vit-large-patch16-224
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: output-models
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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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+ # output-models
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+
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+ This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3268
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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: 2e-05
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+ - train_batch_size: 20
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 40
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 24 | 0.5601 |
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+ | No log | 2.0 | 48 | 0.4566 |
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+ | No log | 3.0 | 72 | 0.4211 |
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+ | No log | 4.0 | 96 | 0.4305 |
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+ | No log | 5.0 | 120 | 0.3421 |
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+ | No log | 6.0 | 144 | 0.3791 |
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+ | No log | 7.0 | 168 | 0.3402 |
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+ | No log | 8.0 | 192 | 0.3100 |
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+ | No log | 9.0 | 216 | 0.3535 |
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+ | No log | 10.0 | 240 | 0.2901 |
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+ | No log | 11.0 | 264 | 0.3832 |
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+ | No log | 12.0 | 288 | 0.3485 |
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+ | No log | 13.0 | 312 | 0.2837 |
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+ | No log | 14.0 | 336 | 0.2737 |
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+ | No log | 15.0 | 360 | 0.2994 |
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+ | No log | 16.0 | 384 | 0.3513 |
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+ | No log | 17.0 | 408 | 0.2560 |
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+ | No log | 18.0 | 432 | 0.2548 |
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+ | No log | 19.0 | 456 | 0.3257 |
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+ | No log | 20.0 | 480 | 0.2756 |
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+ | 0.3146 | 21.0 | 504 | 0.2851 |
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+ | 0.3146 | 22.0 | 528 | 0.2850 |
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+ | 0.3146 | 23.0 | 552 | 0.3386 |
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+ | 0.3146 | 24.0 | 576 | 0.3453 |
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+ | 0.3146 | 25.0 | 600 | 0.3565 |
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+ | 0.3146 | 26.0 | 624 | 0.3320 |
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+ | 0.3146 | 27.0 | 648 | 0.4122 |
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+ | 0.3146 | 28.0 | 672 | 0.3660 |
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+ | 0.3146 | 29.0 | 696 | 0.3518 |
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+ | 0.3146 | 30.0 | 720 | 0.3977 |
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+ | 0.3146 | 31.0 | 744 | 0.5295 |
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+ | 0.3146 | 32.0 | 768 | 0.3776 |
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+ | 0.3146 | 33.0 | 792 | 0.4310 |
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+ | 0.3146 | 34.0 | 816 | 0.3242 |
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+ | 0.3146 | 35.0 | 840 | 0.3271 |
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+ | 0.3146 | 36.0 | 864 | 0.3493 |
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+ | 0.3146 | 37.0 | 888 | 0.3424 |
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+ | 0.3146 | 38.0 | 912 | 0.3294 |
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+ | 0.3146 | 39.0 | 936 | 0.3265 |
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+ | 0.3146 | 40.0 | 960 | 0.3268 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.4
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.2
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