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-perspectives
       type: imagefolder
       config: default
       split: train
@@ -22,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9229156963204471
+      value: 0.9268747088961341
 ---
 
 <!-- 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-perspectives
 
-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-perspectives dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2583
-- Accuracy: 0.9229
+- Loss: 0.2280
+- Accuracy: 0.9269
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9268747088961341,
+    "eval_loss": 0.22801454365253448,
+    "eval_runtime": 317.7864,
+    "eval_samples_per_second": 13.512,
+    "eval_steps_per_second": 1.69,
+    "train_loss": 0.4568727389203334,
+    "train_runtime": 10636.8544,
+    "train_samples_per_second": 11.437,
+    "train_steps_per_second": 1.43
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9268747088961341,
+    "eval_loss": 0.22801454365253448,
+    "eval_runtime": 317.7864,
+    "eval_samples_per_second": 13.512,
+    "eval_steps_per_second": 1.69
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.4568727389203334,
+    "train_runtime": 10636.8544,
+    "train_samples_per_second": 11.437,
+    "train_steps_per_second": 1.43
+}

trainer_state.json

@@ -0,0 +1,253 @@
+{
+  "best_metric": 0.22801454365253448,
+  "best_model_checkpoint": "/workspace/training_output/perspectives/checkpoint-12168",
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 15210,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9342537804076265e-05,
+      "loss": 1.492,
+      "step": 500
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.8685075608152533e-05,
+      "loss": 0.9689,
+      "step": 1000
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.80276134122288e-05,
+      "loss": 0.795,
+      "step": 1500
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 1.7370151216305063e-05,
+      "loss": 0.6899,
+      "step": 2000
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.671268902038133e-05,
+      "loss": 0.6365,
+      "step": 2500
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.6055226824457594e-05,
+      "loss": 0.5677,
+      "step": 3000
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.883791336748952,
+      "eval_loss": 0.39963653683662415,
+      "eval_runtime": 331.6914,
+      "eval_samples_per_second": 12.946,
+      "eval_steps_per_second": 1.619,
+      "step": 3042
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 1.539776462853386e-05,
+      "loss": 0.53,
+      "step": 3500
+    },
+    {
+      "epoch": 1.31,
+      "learning_rate": 1.4740302432610125e-05,
+      "loss": 0.4905,
+      "step": 4000
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 1.4082840236686392e-05,
+      "loss": 0.4689,
+      "step": 4500
+    },
+    {
+      "epoch": 1.64,
+      "learning_rate": 1.3425378040762658e-05,
+      "loss": 0.4579,
+      "step": 5000
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 1.2767915844838923e-05,
+      "loss": 0.4237,
+      "step": 5500
+    },
+    {
+      "epoch": 1.97,
+      "learning_rate": 1.2110453648915189e-05,
+      "loss": 0.4259,
+      "step": 6000
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8747088961341407,
+      "eval_loss": 0.3984226882457733,
+      "eval_runtime": 367.0798,
+      "eval_samples_per_second": 11.698,
+      "eval_steps_per_second": 1.463,
+      "step": 6084
+    },
+    {
+      "epoch": 2.14,
+      "learning_rate": 1.1452991452991454e-05,
+      "loss": 0.3722,
+      "step": 6500
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 1.0795529257067721e-05,
+      "loss": 0.3872,
+      "step": 7000
+    },
+    {
+      "epoch": 2.47,
+      "learning_rate": 1.0138067061143987e-05,
+      "loss": 0.3768,
+      "step": 7500
+    },
+    {
+      "epoch": 2.63,
+      "learning_rate": 9.48060486522025e-06,
+      "loss": 0.3478,
+      "step": 8000
+    },
+    {
+      "epoch": 2.79,
+      "learning_rate": 8.823142669296516e-06,
+      "loss": 0.3586,
+      "step": 8500
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 8.165680473372781e-06,
+      "loss": 0.3448,
+      "step": 9000
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9189566837447601,
+      "eval_loss": 0.2590956389904022,
+      "eval_runtime": 345.333,
+      "eval_samples_per_second": 12.434,
+      "eval_steps_per_second": 1.555,
+      "step": 9126
+    },
+    {
+      "epoch": 3.12,
+      "learning_rate": 7.508218277449047e-06,
+      "loss": 0.3242,
+      "step": 9500
+    },
+    {
+      "epoch": 3.29,
+      "learning_rate": 6.850756081525313e-06,
+      "loss": 0.3168,
+      "step": 10000
+    },
+    {
+      "epoch": 3.45,
+      "learning_rate": 6.193293885601579e-06,
+      "loss": 0.3266,
+      "step": 10500
+    },
+    {
+      "epoch": 3.62,
+      "learning_rate": 5.535831689677844e-06,
+      "loss": 0.3492,
+      "step": 11000
+    },
+    {
+      "epoch": 3.78,
+      "learning_rate": 4.878369493754109e-06,
+      "loss": 0.3307,
+      "step": 11500
+    },
+    {
+      "epoch": 3.94,
+      "learning_rate": 4.220907297830375e-06,
+      "loss": 0.3094,
+      "step": 12000
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.9268747088961341,
+      "eval_loss": 0.22801454365253448,
+      "eval_runtime": 333.8049,
+      "eval_samples_per_second": 12.864,
+      "eval_steps_per_second": 1.609,
+      "step": 12168
+    },
+    {
+      "epoch": 4.11,
+      "learning_rate": 3.563445101906641e-06,
+      "loss": 0.2925,
+      "step": 12500
+    },
+    {
+      "epoch": 4.27,
+      "learning_rate": 2.9059829059829063e-06,
+      "loss": 0.2796,
+      "step": 13000
+    },
+    {
+      "epoch": 4.44,
+      "learning_rate": 2.2485207100591717e-06,
+      "loss": 0.2927,
+      "step": 13500
+    },
+    {
+      "epoch": 4.6,
+      "learning_rate": 1.5910585141354374e-06,
+      "loss": 0.29,
+      "step": 14000
+    },
+    {
+      "epoch": 4.77,
+      "learning_rate": 9.335963182117029e-07,
+      "loss": 0.3004,
+      "step": 14500
+    },
+    {
+      "epoch": 4.93,
+      "learning_rate": 2.7613412228796843e-07,
+      "loss": 0.2449,
+      "step": 15000
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.9229156963204471,
+      "eval_loss": 0.2583230435848236,
+      "eval_runtime": 324.7812,
+      "eval_samples_per_second": 13.221,
+      "eval_steps_per_second": 1.653,
+      "step": 15210
+    },
+    {
+      "epoch": 5.0,
+      "step": 15210,
+      "total_flos": 9.427914420548198e+18,
+      "train_loss": 0.4568727389203334,
+      "train_runtime": 10636.8544,
+      "train_samples_per_second": 11.437,
+      "train_steps_per_second": 1.43
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 15210,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "total_flos": 9.427914420548198e+18,
+  "trial_name": null,
+  "trial_params": null
+}