Upload folder using huggingface_hub

README.md

@@ -0,0 +1,42 @@
+
+---
+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:
+- chanhua/autotrain-data-autotrain-zzbhy-dqgkj
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: 1.0984116792678833
+
+f1_macro: 0.16666666666666666
+
+f1_micro: 0.3333333333333333
+
+f1_weighted: 0.16666666666666666
+
+precision_macro: 0.1111111111111111
+
+precision_micro: 0.3333333333333333
+
+precision_weighted: 0.1111111111111111
+
+recall_macro: 0.3333333333333333
+
+recall_micro: 0.3333333333333333
+
+recall_weighted: 0.3333333333333333
+
+accuracy: 0.3333333333333333

checkpoint-6/config.json

@@ -0,0 +1,52 @@
+{
+  "_name_or_path": "microsoft/resnet-50",
+  "_num_labels": 3,
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "11covered_with_a_quilt_and_only_the_head_exposed",
+    "1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body",
+    "2": "13has_nothing_to_do_with_11_and_12_above"
+  },
+  "label2id": {
+    "11covered_with_a_quilt_and_only_the_head_exposed": 0,
+    "12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1,
+    "13has_nothing_to_do_with_11_and_12_above": 2
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.1"
+}

checkpoint-6/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:338fa44a260e554b03a1acf3b4e3518e050cfe59bb55459efef4f0e76f19ffc5
+size 94311148

checkpoint-6/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c80add42c73399ac4981cf5baf970666e2bbbf6c774f69860b655d3ecb6ac720
+size 188244410

checkpoint-6/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb00f4aa65ee737eb505f4b3bede1bb492eb110417fda2c3e08aa9f040538659
+size 13990

checkpoint-6/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a507d9cafa2419d0ab9d8bfd3d73565df3d210c7e1a2b8ba116f25efdab63f1
+size 1064

checkpoint-6/trainer_state.json

@@ -0,0 +1,111 @@
+{
+  "best_metric": 1.0984116792678833,
+  "best_model_checkpoint": "/tmp/model/checkpoint-6",
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 6,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.5,
+      "learning_rate": 5e-05,
+      "loss": 1.0986,
+      "step": 1
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4e-05,
+      "loss": 1.0986,
+      "step": 2
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.3333333333333333,
+      "eval_f1_macro": 0.16666666666666666,
+      "eval_f1_micro": 0.3333333333333333,
+      "eval_f1_weighted": 0.16666666666666666,
+      "eval_loss": 1.0985578298568726,
+      "eval_precision_macro": 0.1111111111111111,
+      "eval_precision_micro": 0.3333333333333333,
+      "eval_precision_weighted": 0.1111111111111111,
+      "eval_recall_macro": 0.3333333333333333,
+      "eval_recall_micro": 0.3333333333333333,
+      "eval_recall_weighted": 0.3333333333333333,
+      "eval_runtime": 0.4704,
+      "eval_samples_per_second": 6.377,
+      "eval_steps_per_second": 2.126,
+      "step": 2
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 3e-05,
+      "loss": 1.0977,
+      "step": 3
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 2e-05,
+      "loss": 1.0994,
+      "step": 4
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.3333333333333333,
+      "eval_f1_macro": 0.16666666666666666,
+      "eval_f1_micro": 0.3333333333333333,
+      "eval_f1_weighted": 0.16666666666666666,
+      "eval_loss": 1.098459005355835,
+      "eval_precision_macro": 0.1111111111111111,
+      "eval_precision_micro": 0.3333333333333333,
+      "eval_precision_weighted": 0.1111111111111111,
+      "eval_recall_macro": 0.3333333333333333,
+      "eval_recall_micro": 0.3333333333333333,
+      "eval_recall_weighted": 0.3333333333333333,
+      "eval_runtime": 0.4716,
+      "eval_samples_per_second": 6.362,
+      "eval_steps_per_second": 2.121,
+      "step": 4
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 1e-05,
+      "loss": 1.096,
+      "step": 5
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 0.0,
+      "loss": 1.097,
+      "step": 6
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.3333333333333333,
+      "eval_f1_macro": 0.16666666666666666,
+      "eval_f1_micro": 0.3333333333333333,
+      "eval_f1_weighted": 0.16666666666666666,
+      "eval_loss": 1.0984116792678833,
+      "eval_precision_macro": 0.1111111111111111,
+      "eval_precision_micro": 0.3333333333333333,
+      "eval_precision_weighted": 0.1111111111111111,
+      "eval_recall_macro": 0.3333333333333333,
+      "eval_recall_micro": 0.3333333333333333,
+      "eval_recall_weighted": 0.3333333333333333,
+      "eval_runtime": 0.4644,
+      "eval_samples_per_second": 6.461,
+      "eval_steps_per_second": 2.154,
+      "step": 6
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 6,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 700829382629376.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-6/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec2f5925a227007ec012650d3d71e9e94896b526d3cf20585340f6875ce849a4
+size 4728

config.json

@@ -0,0 +1,52 @@
+{
+  "_name_or_path": "microsoft/resnet-50",
+  "_num_labels": 3,
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    6,
+    3
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "11covered_with_a_quilt_and_only_the_head_exposed",
+    "1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body",
+    "2": "13has_nothing_to_do_with_11_and_12_above"
+  },
+  "label2id": {
+    "11covered_with_a_quilt_and_only_the_head_exposed": 0,
+    "12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1,
+    "13has_nothing_to_do_with_11_and_12_above": 2
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:338fa44a260e554b03a1acf3b4e3518e050cfe59bb55459efef4f0e76f19ffc5
+size 94311148

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "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:ec2f5925a227007ec012650d3d71e9e94896b526d3cf20585340f6875ce849a4
+size 4728

training_params.json

@@ -0,0 +1,29 @@
+{
+    "data_path": "chanhua/autotrain-data-autotrain-zzbhy-dqgkj",
+    "model": "microsoft/resnet-50",
+    "username": "chanhua",
+    "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": "/tmp/model",
+    "auto_find_batch_size": false,
+    "mixed_precision": "no",
+    "save_total_limit": 1,
+    "save_strategy": "epoch",
+    "push_to_hub": true,
+    "repo_id": "chanhua/autotrain-zzbhy-dqgkj",
+    "evaluation_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "none"
+}