Upload folder using huggingface_hub

README.md

@@ -0,0 +1,41 @@
+
+---
+tags:
+- autotrain
+- image-classification
+base_model: google/mobilenet_v2_1.0_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: 1.2197859287261963
+
+f1_macro: 0.5238095238095238
+
+f1_micro: 0.6
+
+f1_weighted: 0.5904761904761905
+
+precision_macro: 0.6
+
+precision_micro: 0.6
+
+precision_weighted: 0.6799999999999999
+
+recall_macro: 0.5625
+
+recall_micro: 0.6
+
+recall_weighted: 0.6
+
+accuracy: 0.6

checkpoint-10/config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "google/mobilenet_v2_1.0_224",
+  "_num_labels": 4,
+  "architectures": [
+    "MobileNetV2ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.2,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 1.0,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "3DS",
+    "1": "PS4",
+    "2": "PS5",
+    "3": "Switch"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "3DS": 0,
+    "PS4": 1,
+    "PS5": 2,
+    "Switch": 3
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2"
+}

checkpoint-10/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d6718e2ec923f2806be10f808271b5ca4c44ee1d0d8445bf7753fee67ae069
+size 9090464

checkpoint-10/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:618b6d234291468b8a0e0f23a02fea5e1ec72f3b40c587574acb3ba6059e8e8c
+size 17959802

checkpoint-10/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df83af33d9dd44ccaa55fb5093a41268b23107a4fc8be829b05e8a59317adb75
+size 13990

checkpoint-10/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69e4609a5ae996647c72143f386638e4ede7a5b273ebee4b9a4de41db546c550
+size 1064

checkpoint-10/trainer_state.json

@@ -0,0 +1,148 @@
+{
+  "best_metric": 1.2197859287261963,
+  "best_model_checkpoint": "Clasificacion-videojuegos/checkpoint-10",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.2,
+      "grad_norm": 15.71080207824707,
+      "learning_rate": 1e-05,
+      "loss": 1.754,
+      "step": 1
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 14.343626976013184,
+      "learning_rate": 2e-05,
+      "loss": 1.3535,
+      "step": 2
+    },
+    {
+      "epoch": 0.6,
+      "grad_norm": 14.451988220214844,
+      "learning_rate": 3e-05,
+      "loss": 1.4383,
+      "step": 3
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 14.59858512878418,
+      "learning_rate": 4e-05,
+      "loss": 1.4543,
+      "step": 4
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 16.503807067871094,
+      "learning_rate": 5e-05,
+      "loss": 1.4275,
+      "step": 5
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.2,
+      "eval_f1_macro": 0.18333333333333335,
+      "eval_f1_micro": 0.2,
+      "eval_f1_weighted": 0.21333333333333332,
+      "eval_loss": 1.3527095317840576,
+      "eval_precision_macro": 0.20833333333333331,
+      "eval_precision_micro": 0.2,
+      "eval_precision_weighted": 0.26666666666666666,
+      "eval_recall_macro": 0.1875,
+      "eval_recall_micro": 0.2,
+      "eval_recall_weighted": 0.2,
+      "eval_runtime": 0.853,
+      "eval_samples_per_second": 11.723,
+      "eval_steps_per_second": 1.172,
+      "step": 5
+    },
+    {
+      "epoch": 1.2,
+      "grad_norm": 15.223084449768066,
+      "learning_rate": 4.888888888888889e-05,
+      "loss": 1.5619,
+      "step": 6
+    },
+    {
+      "epoch": 1.4,
+      "grad_norm": 14.266053199768066,
+      "learning_rate": 4.7777777777777784e-05,
+      "loss": 1.35,
+      "step": 7
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 13.56613826751709,
+      "learning_rate": 4.666666666666667e-05,
+      "loss": 1.2472,
+      "step": 8
+    },
+    {
+      "epoch": 1.8,
+      "grad_norm": 15.197037696838379,
+      "learning_rate": 4.555555555555556e-05,
+      "loss": 1.6337,
+      "step": 9
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 16.604944229125977,
+      "learning_rate": 4.4444444444444447e-05,
+      "loss": 1.2695,
+      "step": 10
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.6,
+      "eval_f1_macro": 0.5238095238095238,
+      "eval_f1_micro": 0.6,
+      "eval_f1_weighted": 0.5904761904761905,
+      "eval_loss": 1.2197859287261963,
+      "eval_precision_macro": 0.6,
+      "eval_precision_micro": 0.6,
+      "eval_precision_weighted": 0.6799999999999999,
+      "eval_recall_macro": 0.5625,
+      "eval_recall_micro": 0.6,
+      "eval_recall_weighted": 0.6,
+      "eval_runtime": 0.8028,
+      "eval_samples_per_second": 12.457,
+      "eval_steps_per_second": 1.246,
+      "step": 10
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 50,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "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": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 199836731179008.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-10/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc60080a5dd747444f2790831bb7d30c30ef47c04bd44f4a239d521b2fb1769d
+size 5368

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "google/mobilenet_v2_1.0_224",
+  "_num_labels": 4,
+  "architectures": [
+    "MobileNetV2ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.2,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 1.0,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "3DS",
+    "1": "PS4",
+    "2": "PS5",
+    "3": "Switch"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "3DS": 0,
+    "PS4": 1,
+    "PS5": 2,
+    "Switch": 3
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d6718e2ec923f2806be10f808271b5ca4c44ee1d0d8445bf7753fee67ae069
+size 9090464

preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "MobileNetV2ImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

runs/Nov08_09-48-49_r-starlord001-clasificacion-de-videojuegos-wur8xvg2-4e383-rj5h5/events.out.tfevents.1731059331.r-starlord001-clasificacion-de-videojuegos-wur8xvg2-4e383-rj5h5.157.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5167e45e762f1c31469afaabbd2054dc9222170f3d6a05da2bcd903ada55a60e
-size 5273
+oid sha256:006bdba9d8d5c58603483bafa4c6e6856710e279264490c502a1d23e73d88896
+size 18592

runs/Nov08_09-48-49_r-starlord001-clasificacion-de-videojuegos-wur8xvg2-4e383-rj5h5/events.out.tfevents.1731059390.r-starlord001-clasificacion-de-videojuegos-wur8xvg2-4e383-rj5h5.157.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34cf112880b504bb4db91df381444ca07566950296f8a115e52d063fc6b435ad
+size 906

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc60080a5dd747444f2790831bb7d30c30ef47c04bd44f4a239d521b2fb1769d
+size 5368

training_params.json

@@ -0,0 +1,29 @@
+{
+    "data_path": "Clasificacion-videojuegos/autotrain-data",
+    "model": "google/mobilenet_v2_1.0_224",
+    "username": "Starlord001",
+    "lr": 5e-05,
+    "epochs": 10,
+    "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": "Clasificacion-videojuegos",
+    "auto_find_batch_size": false,
+    "mixed_precision": "none",
+    "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
+}