Upload folder using huggingface_hub

README.md

@@ -0,0 +1,41 @@
+
+---
+tags:
+- autotrain
+- image-classification
+base_model: facebook/convnextv2-atto-1k-224
+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
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metrics
+loss: 0.2754124701023102
+
+f1_macro: 0.8481566344537771
+
+f1_micro: 0.9018324607329843
+
+f1_weighted: 0.9045988585986702
+
+precision_macro: 0.8410035614739351
+
+precision_micro: 0.9018324607329843
+
+precision_weighted: 0.9137617819536253
+
+recall_macro: 0.879811049004688
+
+recall_micro: 0.9018324607329843
+
+recall_weighted: 0.9018324607329843
+
+accuracy: 0.9018324607329843

checkpoint-1146/config.json

@@ -0,0 +1,60 @@
+{
+  "_name_or_path": "facebook/convnextv2-atto-1k-224",
+  "_num_labels": 6,
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    40,
+    80,
+    160,
+    320
+  ],
+  "id2label": {
+    "0": "food",
+    "1": "guru",
+    "2": "inside",
+    "3": "menu",
+    "4": "outside",
+    "5": "people"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "food": 0,
+    "guru": 1,
+    "inside": 2,
+    "menu": 3,
+    "outside": 4,
+    "people": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.1"
+}

checkpoint-1146/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53267358043ab67655254953d34ec2d1fbf72db9ff59bced1bffb95271b15a3b
+size 13573560

checkpoint-1146/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a03c2330d8a25124966b967bd65ca63fc2c9bdceb3ae0552ae62d3e8ad8b9931
+size 27231290

checkpoint-1146/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9078ad988604d6688cf19bfd133bedccfe19cbf7887e423ea3c37edfe0ad3ff1
+size 14308

checkpoint-1146/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85bb2877834308c0902ec653f4bbfc45dbf6ba6b8c51f21909538f12920d079b
+size 1064

checkpoint-1146/trainer_state.json

@@ -0,0 +1,411 @@
+{
+  "best_metric": 0.2754124701023102,
+  "best_model_checkpoint": "autotrain-uypr6-jedzx/checkpoint-1146",
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 1146,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.06544502617801047,
+      "grad_norm": 59.99160385131836,
+      "learning_rate": 8.695652173913044e-06,
+      "loss": 1.7298,
+      "step": 25
+    },
+    {
+      "epoch": 0.13089005235602094,
+      "grad_norm": 47.46957015991211,
+      "learning_rate": 1.956521739130435e-05,
+      "loss": 1.3956,
+      "step": 50
+    },
+    {
+      "epoch": 0.19633507853403143,
+      "grad_norm": 46.052276611328125,
+      "learning_rate": 3.0434782608695656e-05,
+      "loss": 1.0186,
+      "step": 75
+    },
+    {
+      "epoch": 0.2617801047120419,
+      "grad_norm": 34.63148880004883,
+      "learning_rate": 4.130434782608696e-05,
+      "loss": 0.7998,
+      "step": 100
+    },
+    {
+      "epoch": 0.32722513089005234,
+      "grad_norm": 29.743520736694336,
+      "learning_rate": 4.9757516973811834e-05,
+      "loss": 0.5667,
+      "step": 125
+    },
+    {
+      "epoch": 0.39267015706806285,
+      "grad_norm": 67.28214263916016,
+      "learning_rate": 4.8545101842871e-05,
+      "loss": 0.4248,
+      "step": 150
+    },
+    {
+      "epoch": 0.4581151832460733,
+      "grad_norm": 5.239678382873535,
+      "learning_rate": 4.7332686711930166e-05,
+      "loss": 0.5009,
+      "step": 175
+    },
+    {
+      "epoch": 0.5235602094240838,
+      "grad_norm": 39.05686950683594,
+      "learning_rate": 4.6168768186226966e-05,
+      "loss": 0.3557,
+      "step": 200
+    },
+    {
+      "epoch": 0.5890052356020943,
+      "grad_norm": 35.131900787353516,
+      "learning_rate": 4.495635305528613e-05,
+      "loss": 0.4903,
+      "step": 225
+    },
+    {
+      "epoch": 0.6544502617801047,
+      "grad_norm": 62.38943862915039,
+      "learning_rate": 4.37439379243453e-05,
+      "loss": 0.4936,
+      "step": 250
+    },
+    {
+      "epoch": 0.7198952879581152,
+      "grad_norm": 83.50504302978516,
+      "learning_rate": 4.2531522793404463e-05,
+      "loss": 0.4041,
+      "step": 275
+    },
+    {
+      "epoch": 0.7853403141361257,
+      "grad_norm": 150.03025817871094,
+      "learning_rate": 4.131910766246363e-05,
+      "loss": 0.5141,
+      "step": 300
+    },
+    {
+      "epoch": 0.8507853403141361,
+      "grad_norm": 6.634305953979492,
+      "learning_rate": 4.0106692531522795e-05,
+      "loss": 0.3613,
+      "step": 325
+    },
+    {
+      "epoch": 0.9162303664921466,
+      "grad_norm": 74.62594604492188,
+      "learning_rate": 3.889427740058196e-05,
+      "loss": 0.5418,
+      "step": 350
+    },
+    {
+      "epoch": 0.981675392670157,
+      "grad_norm": 4.197720527648926,
+      "learning_rate": 3.7681862269641126e-05,
+      "loss": 0.3599,
+      "step": 375
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.9015052356020943,
+      "eval_f1_macro": 0.8726278718931084,
+      "eval_f1_micro": 0.9015052356020943,
+      "eval_f1_weighted": 0.9022637594375305,
+      "eval_loss": 0.29343605041503906,
+      "eval_precision_macro": 0.8631887848763573,
+      "eval_precision_micro": 0.9015052356020943,
+      "eval_precision_weighted": 0.9066730666237613,
+      "eval_recall_macro": 0.8894872079498141,
+      "eval_recall_micro": 0.9015052356020943,
+      "eval_recall_weighted": 0.9015052356020943,
+      "eval_runtime": 11.5318,
+      "eval_samples_per_second": 265.006,
+      "eval_steps_per_second": 16.563,
+      "step": 382
+    },
+    {
+      "epoch": 1.0471204188481675,
+      "grad_norm": 30.417509078979492,
+      "learning_rate": 3.651794374393793e-05,
+      "loss": 0.5667,
+      "step": 400
+    },
+    {
+      "epoch": 1.112565445026178,
+      "grad_norm": 5.592912673950195,
+      "learning_rate": 3.530552861299709e-05,
+      "loss": 0.4339,
+      "step": 425
+    },
+    {
+      "epoch": 1.1780104712041886,
+      "grad_norm": 149.45635986328125,
+      "learning_rate": 3.409311348205626e-05,
+      "loss": 0.4277,
+      "step": 450
+    },
+    {
+      "epoch": 1.243455497382199,
+      "grad_norm": 43.21306228637695,
+      "learning_rate": 3.2880698351115424e-05,
+      "loss": 0.4474,
+      "step": 475
+    },
+    {
+      "epoch": 1.3089005235602094,
+      "grad_norm": 17.23322296142578,
+      "learning_rate": 3.166828322017459e-05,
+      "loss": 0.3334,
+      "step": 500
+    },
+    {
+      "epoch": 1.3743455497382198,
+      "grad_norm": 58.24462890625,
+      "learning_rate": 3.045586808923376e-05,
+      "loss": 0.2745,
+      "step": 525
+    },
+    {
+      "epoch": 1.4397905759162304,
+      "grad_norm": 50.83113098144531,
+      "learning_rate": 2.924345295829292e-05,
+      "loss": 0.5247,
+      "step": 550
+    },
+    {
+      "epoch": 1.5052356020942408,
+      "grad_norm": 0.8568320870399475,
+      "learning_rate": 2.8031037827352087e-05,
+      "loss": 0.2903,
+      "step": 575
+    },
+    {
+      "epoch": 1.5706806282722514,
+      "grad_norm": 12.354284286499023,
+      "learning_rate": 2.6818622696411256e-05,
+      "loss": 0.3478,
+      "step": 600
+    },
+    {
+      "epoch": 1.6361256544502618,
+      "grad_norm": 72.40668487548828,
+      "learning_rate": 2.560620756547042e-05,
+      "loss": 0.3851,
+      "step": 625
+    },
+    {
+      "epoch": 1.7015706806282722,
+      "grad_norm": 51.888160705566406,
+      "learning_rate": 2.4393792434529584e-05,
+      "loss": 0.4496,
+      "step": 650
+    },
+    {
+      "epoch": 1.7670157068062826,
+      "grad_norm": 18.099403381347656,
+      "learning_rate": 2.318137730358875e-05,
+      "loss": 0.3424,
+      "step": 675
+    },
+    {
+      "epoch": 1.8324607329842932,
+      "grad_norm": 37.54734802246094,
+      "learning_rate": 2.1968962172647915e-05,
+      "loss": 0.3488,
+      "step": 700
+    },
+    {
+      "epoch": 1.8979057591623036,
+      "grad_norm": 75.839111328125,
+      "learning_rate": 2.075654704170708e-05,
+      "loss": 0.4106,
+      "step": 725
+    },
+    {
+      "epoch": 1.9633507853403143,
+      "grad_norm": 101.29055786132812,
+      "learning_rate": 1.9544131910766247e-05,
+      "loss": 0.328,
+      "step": 750
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8893979057591623,
+      "eval_f1_macro": 0.8219814942957756,
+      "eval_f1_micro": 0.8893979057591623,
+      "eval_f1_weighted": 0.8928830409769577,
+      "eval_loss": 0.3261115849018097,
+      "eval_precision_macro": 0.8298661821091419,
+      "eval_precision_micro": 0.8893979057591623,
+      "eval_precision_weighted": 0.908029594925493,
+      "eval_recall_macro": 0.8544707626440197,
+      "eval_recall_micro": 0.8893979057591623,
+      "eval_recall_weighted": 0.8893979057591623,
+      "eval_runtime": 11.5139,
+      "eval_samples_per_second": 265.419,
+      "eval_steps_per_second": 16.589,
+      "step": 764
+    },
+    {
+      "epoch": 2.0287958115183247,
+      "grad_norm": 32.63682174682617,
+      "learning_rate": 1.8331716779825413e-05,
+      "loss": 0.2345,
+      "step": 775
+    },
+    {
+      "epoch": 2.094240837696335,
+      "grad_norm": 24.811006546020508,
+      "learning_rate": 1.7119301648884578e-05,
+      "loss": 0.2723,
+      "step": 800
+    },
+    {
+      "epoch": 2.1596858638743455,
+      "grad_norm": 37.76832962036133,
+      "learning_rate": 1.5906886517943744e-05,
+      "loss": 0.4142,
+      "step": 825
+    },
+    {
+      "epoch": 2.225130890052356,
+      "grad_norm": 25.23703956604004,
+      "learning_rate": 1.4694471387002911e-05,
+      "loss": 0.3667,
+      "step": 850
+    },
+    {
+      "epoch": 2.2905759162303667,
+      "grad_norm": 10.706388473510742,
+      "learning_rate": 1.3482056256062075e-05,
+      "loss": 0.291,
+      "step": 875
+    },
+    {
+      "epoch": 2.356020942408377,
+      "grad_norm": 21.945785522460938,
+      "learning_rate": 1.2269641125121243e-05,
+      "loss": 0.3221,
+      "step": 900
+    },
+    {
+      "epoch": 2.4214659685863875,
+      "grad_norm": 18.858060836791992,
+      "learning_rate": 1.1057225994180407e-05,
+      "loss": 0.354,
+      "step": 925
+    },
+    {
+      "epoch": 2.486910994764398,
+      "grad_norm": 7.743546485900879,
+      "learning_rate": 9.844810863239573e-06,
+      "loss": 0.3951,
+      "step": 950
+    },
+    {
+      "epoch": 2.5523560209424083,
+      "grad_norm": 54.19382858276367,
+      "learning_rate": 8.63239573229874e-06,
+      "loss": 0.4027,
+      "step": 975
+    },
+    {
+      "epoch": 2.6178010471204187,
+      "grad_norm": 31.006372451782227,
+      "learning_rate": 7.419980601357905e-06,
+      "loss": 0.169,
+      "step": 1000
+    },
+    {
+      "epoch": 2.683246073298429,
+      "grad_norm": 92.00570678710938,
+      "learning_rate": 6.207565470417071e-06,
+      "loss": 0.3859,
+      "step": 1025
+    },
+    {
+      "epoch": 2.7486910994764395,
+      "grad_norm": 33.242313385009766,
+      "learning_rate": 4.995150339476237e-06,
+      "loss": 0.244,
+      "step": 1050
+    },
+    {
+      "epoch": 2.8141361256544504,
+      "grad_norm": 46.14966583251953,
+      "learning_rate": 3.7827352085354028e-06,
+      "loss": 0.2685,
+      "step": 1075
+    },
+    {
+      "epoch": 2.8795811518324608,
+      "grad_norm": 2.030245542526245,
+      "learning_rate": 2.5703200775945685e-06,
+      "loss": 0.2737,
+      "step": 1100
+    },
+    {
+      "epoch": 2.945026178010471,
+      "grad_norm": 64.09654998779297,
+      "learning_rate": 1.3579049466537344e-06,
+      "loss": 0.29,
+      "step": 1125
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9018324607329843,
+      "eval_f1_macro": 0.8481566344537771,
+      "eval_f1_micro": 0.9018324607329843,
+      "eval_f1_weighted": 0.9045988585986702,
+      "eval_loss": 0.2754124701023102,
+      "eval_precision_macro": 0.8410035614739351,
+      "eval_precision_micro": 0.9018324607329843,
+      "eval_precision_weighted": 0.9137617819536253,
+      "eval_recall_macro": 0.879811049004688,
+      "eval_recall_micro": 0.9018324607329843,
+      "eval_recall_weighted": 0.9018324607329843,
+      "eval_runtime": 11.582,
+      "eval_samples_per_second": 263.858,
+      "eval_steps_per_second": 16.491,
+      "step": 1146
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 1146,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.01
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.8064447034753024e+16,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-1146/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64d2c5b24082c13a1b3c3b37b8bf38e2c434abcb7c0e7ea81902e11e7c9b484d
+size 5240

config.json

@@ -0,0 +1,60 @@
+{
+  "_name_or_path": "facebook/convnextv2-atto-1k-224",
+  "_num_labels": 6,
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    40,
+    80,
+    160,
+    320
+  ],
+  "id2label": {
+    "0": "food",
+    "1": "guru",
+    "2": "inside",
+    "3": "menu",
+    "4": "outside",
+    "5": "people"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "food": 0,
+    "guru": 1,
+    "inside": 2,
+    "menu": 3,
+    "outside": 4,
+    "people": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53267358043ab67655254953d34ec2d1fbf72db9ff59bced1bffb95271b15a3b
+size 13573560

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
+  }
+}

runs/Aug09_07-54-55_r-guntramg-autotrain-advanced-fci5rf9l-735ea-br3zg/events.out.tfevents.1723190095.r-guntramg-autotrain-advanced-fci5rf9l-735ea-br3zg.146.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f7e324415c5f5707013bbfdd15b90cff3eabe84902abd72b267878f254ea4a95
-size 5238
+oid sha256:e59bf084eea0a0461d1524278e45d340ac02603bd994ec6f018e7ccc60113ffc
+size 17566

runs/Aug09_07-54-55_r-guntramg-autotrain-advanced-fci5rf9l-735ea-br3zg/events.out.tfevents.1723190222.r-guntramg-autotrain-advanced-fci5rf9l-735ea-br3zg.146.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bc2080fc7d09d3efefe98f08709e11a09e7064ffb527efedaaa5efda75e6c93
+size 921

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64d2c5b24082c13a1b3c3b37b8bf38e2c434abcb7c0e7ea81902e11e7c9b484d
+size 5240

training_params.json

@@ -0,0 +1,29 @@
+{
+    "data_path": "autotrain-uypr6-jedzx/autotrain-data",
+    "model": "facebook/convnextv2-atto-1k-224",
+    "username": "GuntramG",
+    "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-uypr6-jedzx",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "image_column": "autotrain_image",
+    "target_column": "autotrain_label",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}