Upload folder using huggingface_hub

README.md

@@ -0,0 +1,32 @@
+
+---
+tags:
+- autotrain
+- image-classification
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+datasets:
+- autotrain-jdhm5-q26ec/autotrain-data
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: 0.6047379970550537
+
+f1: 0.6666666666666666
+
+precision: 0.5
+
+recall: 1.0
+
+auc: 1.0
+
+accuracy: 0.5

checkpoint-3/config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "google/mobilenet_v1_0.75_192",
+  "_num_labels": 2,
+  "architectures": [
+    "MobileNetV1ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.001,
+  "depth_multiplier": 0.75,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "madura",
+    "1": "normal"
+  },
+  "image_size": 192,
+  "initializer_range": 0.02,
+  "label2id": {
+    "madura": 0,
+    "normal": 1
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v1",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0"
+}

checkpoint-3/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94d6e3cf83cf845266b6e142753ea0b5c4097710ea4979e9b1356be582e31829
+size 7356136

checkpoint-3/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:111376c2bc3b6ff6d81a9e738d44644e732b87c26bcd5b2742da6fca5af2dd44
+size 14612026

checkpoint-3/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02a78c5d96aa24ba055d0b1aff8076eff4952978a78e5dea3ea6c7b0d042cdf8
+size 13990

checkpoint-3/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8a41b254d981983d12a5d0bed17f4768863ab9648e2daeb9b71c409365e3b73
+size 1064

checkpoint-3/trainer_state.json

@@ -0,0 +1,81 @@
+{
+  "best_metric": 0.6047379970550537,
+  "best_model_checkpoint": "autotrain-jdhm5-q26ec/checkpoint-3",
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 3,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 9.633369445800781,
+      "learning_rate": 5e-05,
+      "loss": 0.8554,
+      "step": 1
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.5,
+      "eval_auc": 0.0,
+      "eval_f1": 0.6666666666666666,
+      "eval_loss": 0.9051942229270935,
+      "eval_precision": 0.5,
+      "eval_recall": 1.0,
+      "eval_runtime": 0.2797,
+      "eval_samples_per_second": 7.149,
+      "eval_steps_per_second": 3.575,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 8.914290428161621,
+      "learning_rate": 2.5e-05,
+      "loss": 0.7598,
+      "step": 2
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.0,
+      "eval_auc": 0.0,
+      "eval_f1": 0.0,
+      "eval_loss": 0.7822370529174805,
+      "eval_precision": 0.0,
+      "eval_recall": 0.0,
+      "eval_runtime": 0.065,
+      "eval_samples_per_second": 30.775,
+      "eval_steps_per_second": 15.388,
+      "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 9.92099380493164,
+      "learning_rate": 0.0,
+      "loss": 0.734,
+      "step": 3
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5,
+      "eval_auc": 1.0,
+      "eval_f1": 0.6666666666666666,
+      "eval_loss": 0.6047379970550537,
+      "eval_precision": 0.5,
+      "eval_recall": 1.0,
+      "eval_runtime": 0.1062,
+      "eval_samples_per_second": 18.84,
+      "eval_steps_per_second": 9.42,
+      "step": 3
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 3,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 39409150427136.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-3/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b6c6dd69192e203e2333c61d859e0ce4c861af5331d42b6100164081d26e04d
+size 4920

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "google/mobilenet_v1_0.75_192",
+  "_num_labels": 2,
+  "architectures": [
+    "MobileNetV1ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.001,
+  "depth_multiplier": 0.75,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "madura",
+    "1": "normal"
+  },
+  "image_size": 192,
+  "initializer_range": 0.02,
+  "label2id": {
+    "madura": 0,
+    "normal": 1
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v1",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94d6e3cf83cf845266b6e142753ea0b5c4097710ea4979e9b1356be582e31829
+size 7356136

preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "crop_size": {
+    "height": 192,
+    "width": 192
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileNetV1ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b6c6dd69192e203e2333c61d859e0ce4c861af5331d42b6100164081d26e04d
+size 4920

training_params.json

@@ -0,0 +1,29 @@
+{
+    "data_path": "autotrain-jdhm5-q26ec/autotrain-data",
+    "model": "google/mobilenet_v1_0.75_192",
+    "username": "yuleysi",
+    "lr": 5e-05,
+    "epochs": 3,
+    "batch_size": 8,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": "validation",
+    "logging_steps": -1,
+    "project_name": "autotrain-jdhm5-q26ec",
+    "auto_find_batch_size": false,
+    "mixed_precision": null,
+    "save_total_limit": 1,
+    "save_strategy": "epoch",
+    "push_to_hub": true,
+    "repo_id": "yuleysi/autotrain-jdhm5-q26ec",
+    "evaluation_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "none"
+}