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ViT_face

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ViT
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  1. README.md +69 -0
  2. config.json +34 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +22 -0
  5. runs/Sep03_01-50-00_80c91f0ad5d6/events.out.tfevents.1725328298.80c91f0ad5d6.2158.0 +3 -0
  6. runs/Sep03_01-50-00_80c91f0ad5d6/events.out.tfevents.1725329000.80c91f0ad5d6.2158.1 +3 -0
  7. runs/Sep03_02-09-44_80c91f0ad5d6/events.out.tfevents.1725329388.80c91f0ad5d6.2158.2 +3 -0
  8. runs/Sep03_02-11-07_80c91f0ad5d6/events.out.tfevents.1725329471.80c91f0ad5d6.2158.3 +3 -0
  9. 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: google/vit-base-patch16-224-in21k
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+ tags:
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+ - HHD
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+ - 3_class
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+ - ViT
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+ - generated_from_trainer
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+ model-index:
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+ - name: ViT_face
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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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+ # ViT_face
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+
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+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the face dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6752
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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: 32
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+ - eval_batch_size: 32
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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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+ - 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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 38 | 1.0114 |
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+ | No log | 2.0 | 76 | 0.8914 |
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+ | No log | 3.0 | 114 | 0.7663 |
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+ | No log | 4.0 | 152 | 0.6776 |
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+ | No log | 5.0 | 190 | 0.6646 |
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+ | No log | 6.0 | 228 | 0.6212 |
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+ | No log | 7.0 | 266 | 0.6771 |
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+ | No log | 8.0 | 304 | 0.6733 |
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+ | No log | 9.0 | 342 | 0.6735 |
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+ | No log | 10.0 | 380 | 0.6752 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "google/vit-base-patch16-224-in21k",
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ },
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+ "image_size": 224,
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.4"
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+ }
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