End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: skincare-detection
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# skincare-detection
+
+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 None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5268
+- Accuracy: 0.7904
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9626        | 0.99  | 61   | 0.5268          | 0.7904   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.17.1
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 0.99,
+    "total_flos": 6.0508456960367e+17,
+    "train_loss": 0.7793287371025711,
+    "train_runtime": 231.1327,
+    "train_samples_per_second": 33.946,
+    "train_steps_per_second": 0.264
+}

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "acne",
+    "1": "dry",
+    "2": "hidradenitis_suppurativa",
+    "3": "milia",
+    "4": "normal",
+    "5": "oily",
+    "6": "rosacea"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "acne": 0,
+    "dry": 1,
+    "hidradenitis_suppurativa": 2,
+    "milia": 3,
+    "normal": 4,
+    "oily": 5,
+    "rosacea": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Mar01_10-20-44_0f3887521394/events.out.tfevents.1709288446.0f3887521394.27.0

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train_results.json

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+{
+    "epoch": 0.99,
+    "total_flos": 6.0508456960367e+17,
+    "train_loss": 0.7793287371025711,
+    "train_runtime": 231.1327,
+    "train_samples_per_second": 33.946,
+    "train_steps_per_second": 0.264
+}

trainer_state.json

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+{
+  "best_metric": 0.7904191616766467,
+  "best_model_checkpoint": "skincare-detection/checkpoint-61",
+  "epoch": 0.991869918699187,
+  "eval_steps": 500,
+  "global_step": 61,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.52,
+      "grad_norm": 0.6144677996635437,
+      "learning_rate": 0.00010740740740740742,
+      "loss": 0.9626,
+      "step": 32
+    },
+    {
+      "epoch": 0.99,
+      "eval_accuracy": 0.7904191616766467,
+      "eval_loss": 0.5268285870552063,
+      "eval_runtime": 12.168,
+      "eval_samples_per_second": 96.072,
+      "eval_steps_per_second": 3.041,
+      "step": 61
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+      "train_runtime": 231.1327,
+      "train_samples_per_second": 33.946,
+      "train_steps_per_second": 0.264
+    }
+  ],
+  "logging_steps": 32,
+  "max_steps": 61,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 6.0508456960367e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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