End of training

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0154
+- Loss: 0.0655
 - Accuracy: 1.0
 
 ## Model description

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 3.89,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.06549932062625885,
+    "eval_runtime": 11.6436,
+    "eval_samples_per_second": 5.668,
+    "eval_steps_per_second": 0.773,
+    "train_loss": 0.4762725825938914,
+    "train_runtime": 1181.7253,
+    "train_samples_per_second": 1.984,
+    "train_steps_per_second": 0.061
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.89,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.06549932062625885,
+    "eval_runtime": 11.6436,
+    "eval_samples_per_second": 5.668,
+    "eval_steps_per_second": 0.773
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.89,
+    "train_loss": 0.4762725825938914,
+    "train_runtime": 1181.7253,
+    "train_samples_per_second": 1.984,
+    "train_steps_per_second": 0.061
+}

trainer_state.json

@@ -0,0 +1,106 @@
+{
+  "best_metric": 1.0,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-herbify2\\checkpoint-37",
+  "epoch": 3.891891891891892,
+  "eval_steps": 500,
+  "global_step": 72,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.54,
+      "learning_rate": 4.8437500000000005e-05,
+      "loss": 1.6649,
+      "step": 10
+    },
+    {
+      "epoch": 0.97,
+      "eval_accuracy": 0.9242424242424242,
+      "eval_loss": 0.5193227529525757,
+      "eval_runtime": 15.3587,
+      "eval_samples_per_second": 4.297,
+      "eval_steps_per_second": 0.586,
+      "step": 18
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 4.0625000000000005e-05,
+      "loss": 0.9289,
+      "step": 20
+    },
+    {
+      "epoch": 1.62,
+      "learning_rate": 3.2812500000000005e-05,
+      "loss": 0.4002,
+      "step": 30
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.06549932062625885,
+      "eval_runtime": 11.5656,
+      "eval_samples_per_second": 5.707,
+      "eval_steps_per_second": 0.778,
+      "step": 37
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 2.5e-05,
+      "loss": 0.1738,
+      "step": 40
+    },
+    {
+      "epoch": 2.7,
+      "learning_rate": 1.71875e-05,
+      "loss": 0.1095,
+      "step": 50
+    },
+    {
+      "epoch": 2.97,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.024937652051448822,
+      "eval_runtime": 11.0676,
+      "eval_samples_per_second": 5.963,
+      "eval_steps_per_second": 0.813,
+      "step": 55
+    },
+    {
+      "epoch": 3.24,
+      "learning_rate": 9.375000000000001e-06,
+      "loss": 0.091,
+      "step": 60
+    },
+    {
+      "epoch": 3.78,
+      "learning_rate": 1.5625e-06,
+      "loss": 0.0486,
+      "step": 70
+    },
+    {
+      "epoch": 3.89,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.01543662790209055,
+      "eval_runtime": 11.9323,
+      "eval_samples_per_second": 5.531,
+      "eval_steps_per_second": 0.754,
+      "step": 72
+    },
+    {
+      "epoch": 3.89,
+      "step": 72,
+      "total_flos": 5.682714166060646e+16,
+      "train_loss": 0.4762725825938914,
+      "train_runtime": 1181.7253,
+      "train_samples_per_second": 1.984,
+      "train_steps_per_second": 0.061
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 72,
+  "num_train_epochs": 4,
+  "save_steps": 500,
+  "total_flos": 5.682714166060646e+16,
+  "trial_name": null,
+  "trial_params": null
+}