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End of training

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  1. README.md +85 -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-base-patch16_fold1
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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: 0.6692913385826772
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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-base-patch16_fold1
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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: 1.6421
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+ - Accuracy: 0.6693
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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: 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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+ | 1.0907 | 1.0 | 924 | 1.0851 | 0.6296 |
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+ | 0.945 | 2.0 | 1848 | 1.0698 | 0.6340 |
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+ | 0.7725 | 3.0 | 2772 | 0.9959 | 0.6687 |
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+ | 0.4807 | 4.0 | 3696 | 1.0700 | 0.6677 |
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+ | 0.5152 | 5.0 | 4620 | 1.1856 | 0.6579 |
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+ | 0.264 | 6.0 | 5544 | 1.2952 | 0.6647 |
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+ | 0.1403 | 7.0 | 6468 | 1.4304 | 0.6655 |
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+ | 0.1127 | 8.0 | 7392 | 1.5557 | 0.6679 |
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+ | 0.1072 | 9.0 | 8316 | 1.6120 | 0.6685 |
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+ | 0.1138 | 10.0 | 9240 | 1.6421 | 0.6693 |
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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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+ "architectures": [
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+ "BeitForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "auxiliary_channels": 256,
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+ "auxiliary_concat_input": false,
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+ "auxiliary_loss_weight": 0.4,
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+ "drop_path_rate": 0.1,
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+ "hidden_act": "gelu",
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+ "2": "CurlyTail",
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+ "5": "LongTail",
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+ "6": "NarrowAcrosome",
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+ "9": "PyriformHead"
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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_absolute_position_embeddings": false,
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+ "use_relative_position_bias": true,
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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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