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:
+- yuanhuaisen/autotrain-data-autotrain-wo0g3-9eb7w
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: 1.087890625
+
+f1_macro: 0.26666666666666666
+
+f1_micro: 0.5
+
+f1_weighted: 0.4
+
+precision_macro: 0.2222222222222222
+
+precision_micro: 0.5
+
+precision_weighted: 0.3333333333333333
+
+recall_macro: 0.3333333333333333
+
+recall_micro: 0.5
+
+recall_weighted: 0.5
+
+accuracy: 0.5

checkpoint-6/config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "google/vit-large-patch16-224",
+  "_num_labels": 3,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "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"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "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_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "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:baa072f62f5323609f4bb6744820d3464399cd48ebbc9892b4adcd1a0a1b9432
+size 1213265372

checkpoint-6/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67dc9e1da54afb9649f9aec528b9bff4ff1bb63327a3dd2ec18c430623b5de6a
+size 2426765738

checkpoint-6/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4ca5af53b34a363cfc6e14177f8c078cede067a50f92d5d62bce2143a0b1173
+size 14244

checkpoint-6/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f0416cb20c29b0cf5a770807a310a8644ea395844a4b28f68f2bc3dd15f786b
+size 1064

checkpoint-6/trainer_state.json

@@ -0,0 +1,111 @@
+{
+  "best_metric": 1.087890625,
+  "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": 0.5,
+      "eval_f1_macro": 0.38888888888888884,
+      "eval_f1_micro": 0.5,
+      "eval_f1_weighted": 0.4583333333333333,
+      "eval_loss": 1.0966796875,
+      "eval_precision_macro": 0.4444444444444444,
+      "eval_precision_micro": 0.5,
+      "eval_precision_weighted": 0.5833333333333334,
+      "eval_recall_macro": 0.5,
+      "eval_recall_micro": 0.5,
+      "eval_recall_weighted": 0.5,
+      "eval_runtime": 0.1739,
+      "eval_samples_per_second": 23.008,
+      "eval_steps_per_second": 5.752,
+      "step": 2
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 3e-05,
+      "loss": 1.0917,
+      "step": 3
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 3e-05,
+      "loss": 1.0969,
+      "step": 4
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.5,
+      "eval_f1_macro": 0.26666666666666666,
+      "eval_f1_micro": 0.5,
+      "eval_f1_weighted": 0.4,
+      "eval_loss": 1.09228515625,
+      "eval_precision_macro": 0.2222222222222222,
+      "eval_precision_micro": 0.5,
+      "eval_precision_weighted": 0.3333333333333333,
+      "eval_recall_macro": 0.3333333333333333,
+      "eval_recall_micro": 0.5,
+      "eval_recall_weighted": 0.5,
+      "eval_runtime": 0.1665,
+      "eval_samples_per_second": 24.022,
+      "eval_steps_per_second": 6.005,
+      "step": 4
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 2e-05,
+      "loss": 1.0864,
+      "step": 5
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 1e-05,
+      "loss": 1.082,
+      "step": 6
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5,
+      "eval_f1_macro": 0.26666666666666666,
+      "eval_f1_micro": 0.5,
+      "eval_f1_weighted": 0.4,
+      "eval_loss": 1.087890625,
+      "eval_precision_macro": 0.2222222222222222,
+      "eval_precision_micro": 0.5,
+      "eval_precision_weighted": 0.3333333333333333,
+      "eval_recall_macro": 0.3333333333333333,
+      "eval_recall_micro": 0.5,
+      "eval_recall_weighted": 0.5,
+      "eval_runtime": 0.1663,
+      "eval_samples_per_second": 24.056,
+      "eval_steps_per_second": 6.014,
+      "step": 6
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 6,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 1.0683469118859264e+16,
+  "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 sha256:63fcf9e0c7928b86161fc3bacfb074521e21d16f59f223e74fce92c3b6574ec3
+size 4728

config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "google/vit-large-patch16-224",
+  "_num_labels": 3,
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "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"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "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_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:baa072f62f5323609f4bb6744820d3464399cd48ebbc9892b4adcd1a0a1b9432
+size 1213265372

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "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
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63fcf9e0c7928b86161fc3bacfb074521e21d16f59f223e74fce92c3b6574ec3
+size 4728

training_params.json

@@ -0,0 +1,29 @@
+{
+    "data_path": "yuanhuaisen/autotrain-data-autotrain-wo0g3-9eb7w",
+    "model": "google/vit-large-patch16-224",
+    "username": "yuanhuaisen",
+    "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": "fp16",
+    "save_total_limit": 1,
+    "save_strategy": "epoch",
+    "push_to_hub": true,
+    "repo_id": "yuanhuaisen/autotrain-wo0g3-9eb7w",
+    "evaluation_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "none"
+}