End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -14,7 +16,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: touchtech/fashion-images-gender-age
       type: imagefolder
       config: default
       split: train
@@ -22,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9921052631578947
+      value: 0.9941520467836257
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fashion-images-gender-age
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the touchtech/fashion-images-gender-age dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0297
-- Accuracy: 0.9921
+- Loss: 0.0244
+- Accuracy: 0.9942
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9941520467836257,
+    "eval_loss": 0.024446744471788406,
+    "eval_runtime": 233.4263,
+    "eval_samples_per_second": 14.651,
+    "eval_steps_per_second": 1.834,
+    "train_loss": 0.1264958238326056,
+    "train_runtime": 8600.7866,
+    "train_samples_per_second": 11.263,
+    "train_steps_per_second": 1.408
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9941520467836257,
+    "eval_loss": 0.024446744471788406,
+    "eval_runtime": 233.4263,
+    "eval_samples_per_second": 14.651,
+    "eval_steps_per_second": 1.834
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.1264958238326056,
+    "train_runtime": 8600.7866,
+    "train_samples_per_second": 11.263,
+    "train_steps_per_second": 1.408
+}

trainer_state.json

@@ -0,0 +1,217 @@
+{
+  "best_metric": 0.024446744471788406,
+  "best_model_checkpoint": "/workspace/training_output/age-gender/checkpoint-9688",
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 12110,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.9174236168455824e-05,
+      "loss": 0.5499,
+      "step": 500
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.8348472336911643e-05,
+      "loss": 0.257,
+      "step": 1000
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 1.752270850536747e-05,
+      "loss": 0.1934,
+      "step": 1500
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.6696944673823288e-05,
+      "loss": 0.167,
+      "step": 2000
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.9780701754385965,
+      "eval_loss": 0.07958254218101501,
+      "eval_runtime": 242.567,
+      "eval_samples_per_second": 14.099,
+      "eval_steps_per_second": 1.764,
+      "step": 2422
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 1.587118084227911e-05,
+      "loss": 0.1596,
+      "step": 2500
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 1.5045417010734931e-05,
+      "loss": 0.1339,
+      "step": 3000
+    },
+    {
+      "epoch": 1.45,
+      "learning_rate": 1.4219653179190754e-05,
+      "loss": 0.1357,
+      "step": 3500
+    },
+    {
+      "epoch": 1.65,
+      "learning_rate": 1.3393889347646574e-05,
+      "loss": 0.1377,
+      "step": 4000
+    },
+    {
+      "epoch": 1.86,
+      "learning_rate": 1.2568125516102397e-05,
+      "loss": 0.1169,
+      "step": 4500
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9883040935672515,
+      "eval_loss": 0.047995880246162415,
+      "eval_runtime": 232.2727,
+      "eval_samples_per_second": 14.724,
+      "eval_steps_per_second": 1.843,
+      "step": 4844
+    },
+    {
+      "epoch": 2.06,
+      "learning_rate": 1.1742361684558218e-05,
+      "loss": 0.116,
+      "step": 5000
+    },
+    {
+      "epoch": 2.27,
+      "learning_rate": 1.091659785301404e-05,
+      "loss": 0.1116,
+      "step": 5500
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 1.0090834021469859e-05,
+      "loss": 0.0921,
+      "step": 6000
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 9.265070189925683e-06,
+      "loss": 0.0897,
+      "step": 6500
+    },
+    {
+      "epoch": 2.89,
+      "learning_rate": 8.439306358381504e-06,
+      "loss": 0.0993,
+      "step": 7000
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9935672514619883,
+      "eval_loss": 0.026438480243086815,
+      "eval_runtime": 245.5743,
+      "eval_samples_per_second": 13.927,
+      "eval_steps_per_second": 1.743,
+      "step": 7266
+    },
+    {
+      "epoch": 3.1,
+      "learning_rate": 7.6135425268373255e-06,
+      "loss": 0.0728,
+      "step": 7500
+    },
+    {
+      "epoch": 3.3,
+      "learning_rate": 6.787778695293147e-06,
+      "loss": 0.083,
+      "step": 8000
+    },
+    {
+      "epoch": 3.51,
+      "learning_rate": 5.962014863748969e-06,
+      "loss": 0.0737,
+      "step": 8500
+    },
+    {
+      "epoch": 3.72,
+      "learning_rate": 5.13625103220479e-06,
+      "loss": 0.0941,
+      "step": 9000
+    },
+    {
+      "epoch": 3.92,
+      "learning_rate": 4.310487200660611e-06,
+      "loss": 0.0738,
+      "step": 9500
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.9941520467836257,
+      "eval_loss": 0.024446744471788406,
+      "eval_runtime": 255.6848,
+      "eval_samples_per_second": 13.376,
+      "eval_steps_per_second": 1.674,
+      "step": 9688
+    },
+    {
+      "epoch": 4.13,
+      "learning_rate": 3.484723369116433e-06,
+      "loss": 0.0599,
+      "step": 10000
+    },
+    {
+      "epoch": 4.34,
+      "learning_rate": 2.658959537572254e-06,
+      "loss": 0.0632,
+      "step": 10500
+    },
+    {
+      "epoch": 4.54,
+      "learning_rate": 1.8331957060280761e-06,
+      "loss": 0.0551,
+      "step": 11000
+    },
+    {
+      "epoch": 4.75,
+      "learning_rate": 1.0074318744838975e-06,
+      "loss": 0.0681,
+      "step": 11500
+    },
+    {
+      "epoch": 4.95,
+      "learning_rate": 1.8166804293971927e-07,
+      "loss": 0.0497,
+      "step": 12000
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.9921052631578947,
+      "eval_loss": 0.029725175350904465,
+      "eval_runtime": 246.957,
+      "eval_samples_per_second": 13.849,
+      "eval_steps_per_second": 1.733,
+      "step": 12110
+    },
+    {
+      "epoch": 5.0,
+      "step": 12110,
+      "total_flos": 7.506850873128284e+18,
+      "train_loss": 0.1264958238326056,
+      "train_runtime": 8600.7866,
+      "train_samples_per_second": 11.263,
+      "train_steps_per_second": 1.408
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 12110,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "total_flos": 7.506850873128284e+18,
+  "trial_name": null,
+  "trial_params": null
+}