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End of training

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  1. README.md +95 -0
  2. config.json +88 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +28 -0
  5. training_args.bin +3 -0
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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+ datasets:
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+ - imagefolder
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: Boya1_RMSProp_1-e5_20Epoch_09Momentum_Beit-large-patch16_fold2
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+ results:
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+ - task:
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+ name: Image Classification
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+ type: image-classification
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+ dataset:
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+ name: imagefolder
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+ type: imagefolder
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.6043243243243244
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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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+ # Boya1_RMSProp_1-e5_20Epoch_09Momentum_Beit-large-patch16_fold2
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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 the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.9995
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+ - Accuracy: 0.6043
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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: 1e-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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+ - 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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+ | 1.3721 | 1.0 | 923 | 1.4458 | 0.5151 |
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+ | 1.211 | 2.0 | 1846 | 1.2447 | 0.5646 |
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+ | 1.0199 | 3.0 | 2769 | 1.1676 | 0.5949 |
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+ | 0.647 | 4.0 | 3692 | 1.3168 | 0.5827 |
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+ | 0.663 | 5.0 | 4615 | 1.3702 | 0.6049 |
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+ | 0.4514 | 6.0 | 5538 | 1.7725 | 0.5789 |
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+ | 0.2392 | 7.0 | 6461 | 1.9038 | 0.5757 |
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+ | 0.2501 | 8.0 | 7384 | 2.2880 | 0.5786 |
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+ | 0.2883 | 9.0 | 8307 | 2.4302 | 0.5922 |
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+ | 0.0684 | 10.0 | 9230 | 2.6185 | 0.5822 |
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+ | 0.063 | 11.0 | 10153 | 2.9356 | 0.5814 |
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+ | 0.1381 | 12.0 | 11076 | 3.1443 | 0.5911 |
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+ | 0.0369 | 13.0 | 11999 | 3.4881 | 0.5762 |
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+ | 0.0268 | 14.0 | 12922 | 3.5602 | 0.5816 |
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+ | 0.0267 | 15.0 | 13845 | 3.6681 | 0.6041 |
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+ | 0.028 | 16.0 | 14768 | 3.7330 | 0.5970 |
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+ | 0.0138 | 17.0 | 15691 | 3.9073 | 0.6019 |
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+ | 0.0004 | 18.0 | 16614 | 3.9147 | 0.6 |
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+ | 0.0001 | 19.0 | 17537 | 3.9594 | 0.6030 |
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+ | 0.0 | 20.0 | 18460 | 3.9995 | 0.6043 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/beit-base-patch16-224-pt22k-ft22k",
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+ "BeitForImageClassification"
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+ "model_type": "beit",
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+ "num_attention_heads": 12,
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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "semantic_loss_ignore_index": 255,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.0",
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+ "use_shared_relative_position_bias": false,
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+ "vocab_size": 8192
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+ }
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