End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: google/vit-large-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-pack-types
       type: imagefolder
       config: default
       split: train
@@ -22,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9915469146238377
+      value: 0.9894336432797971
 ---
 
 <!-- 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-pack-types-vit-large-patch16-224-in21k
 
-This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-pack-types dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0362
-- Accuracy: 0.9915
+- Loss: 0.0343
+- Accuracy: 0.9894
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9894336432797971,
+    "eval_loss": 0.03428684547543526,
+    "eval_runtime": 162.823,
+    "eval_samples_per_second": 14.531,
+    "eval_steps_per_second": 1.818,
+    "train_loss": 0.10461939445258894,
+    "train_runtime": 6074.546,
+    "train_samples_per_second": 11.034,
+    "train_steps_per_second": 1.38
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.9894336432797971,
+    "eval_loss": 0.03428684547543526,
+    "eval_runtime": 162.823,
+    "eval_samples_per_second": 14.531,
+    "eval_steps_per_second": 1.818
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.10461939445258894,
+    "train_runtime": 6074.546,
+    "train_samples_per_second": 11.034,
+    "train_steps_per_second": 1.38
+}

trainer_state.json

@@ -0,0 +1,169 @@
+{
+  "best_metric": 0.03428684547543526,
+  "best_model_checkpoint": "/workspace/training_output/pack-types-vit-large-patch16-224-in21k/checkpoint-3352",
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 8380,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.8806682577565632e-05,
+      "loss": 0.2863,
+      "step": 500
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 1.7613365155131266e-05,
+      "loss": 0.1669,
+      "step": 1000
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 1.6420047732696897e-05,
+      "loss": 0.1556,
+      "step": 1500
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.9860524091293322,
+      "eval_loss": 0.04897575080394745,
+      "eval_runtime": 170.5458,
+      "eval_samples_per_second": 13.873,
+      "eval_steps_per_second": 1.736,
+      "step": 1676
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 1.5226730310262532e-05,
+      "loss": 0.1183,
+      "step": 2000
+    },
+    {
+      "epoch": 1.49,
+      "learning_rate": 1.4033412887828164e-05,
+      "loss": 0.1141,
+      "step": 2500
+    },
+    {
+      "epoch": 1.79,
+      "learning_rate": 1.2840095465393797e-05,
+      "loss": 0.1185,
+      "step": 3000
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9894336432797971,
+      "eval_loss": 0.03428684547543526,
+      "eval_runtime": 161.6386,
+      "eval_samples_per_second": 14.638,
+      "eval_steps_per_second": 1.831,
+      "step": 3352
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 1.1646778042959427e-05,
+      "loss": 0.1127,
+      "step": 3500
+    },
+    {
+      "epoch": 2.39,
+      "learning_rate": 1.045346062052506e-05,
+      "loss": 0.0862,
+      "step": 4000
+    },
+    {
+      "epoch": 2.68,
+      "learning_rate": 9.260143198090693e-06,
+      "loss": 0.1032,
+      "step": 4500
+    },
+    {
+      "epoch": 2.98,
+      "learning_rate": 8.066825775656326e-06,
+      "loss": 0.0815,
+      "step": 5000
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9881656804733728,
+      "eval_loss": 0.053725942969322205,
+      "eval_runtime": 159.6941,
+      "eval_samples_per_second": 14.816,
+      "eval_steps_per_second": 1.854,
+      "step": 5028
+    },
+    {
+      "epoch": 3.28,
+      "learning_rate": 6.873508353221957e-06,
+      "loss": 0.0744,
+      "step": 5500
+    },
+    {
+      "epoch": 3.58,
+      "learning_rate": 5.68019093078759e-06,
+      "loss": 0.0793,
+      "step": 6000
+    },
+    {
+      "epoch": 3.88,
+      "learning_rate": 4.486873508353222e-06,
+      "loss": 0.0503,
+      "step": 6500
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.9915469146238377,
+      "eval_loss": 0.03739229962229729,
+      "eval_runtime": 160.0301,
+      "eval_samples_per_second": 14.785,
+      "eval_steps_per_second": 1.85,
+      "step": 6704
+    },
+    {
+      "epoch": 4.18,
+      "learning_rate": 3.293556085918855e-06,
+      "loss": 0.0727,
+      "step": 7000
+    },
+    {
+      "epoch": 4.47,
+      "learning_rate": 2.100238663484487e-06,
+      "loss": 0.0466,
+      "step": 7500
+    },
+    {
+      "epoch": 4.77,
+      "learning_rate": 9.069212410501194e-07,
+      "loss": 0.0447,
+      "step": 8000
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.9915469146238377,
+      "eval_loss": 0.03615482896566391,
+      "eval_runtime": 162.6104,
+      "eval_samples_per_second": 14.55,
+      "eval_steps_per_second": 1.82,
+      "step": 8380
+    },
+    {
+      "epoch": 5.0,
+      "step": 8380,
+      "total_flos": 1.8360872742865766e+19,
+      "train_loss": 0.10461939445258894,
+      "train_runtime": 6074.546,
+      "train_samples_per_second": 11.034,
+      "train_steps_per_second": 1.38
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 8380,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "total_flos": 1.8360872742865766e+19,
+  "trial_name": null,
+  "trial_params": null
+}