End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9574468085106383
+      value: 0.9680851063829787
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [judith0/classification_INE_v2](https://huggingface.co/judith0/classification_INE_v2) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0870
-- Accuracy: 0.9574
+- Loss: 0.0682
+- Accuracy: 0.9681
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.67,
+    "eval_accuracy": 0.9680851063829787,
+    "eval_loss": 0.06822928786277771,
+    "eval_runtime": 2.886,
+    "eval_samples_per_second": 32.571,
+    "eval_steps_per_second": 1.039,
+    "total_flos": 5.602696465869619e+16,
+    "train_loss": 0.04628414081202613,
+    "train_runtime": 64.1398,
+    "train_samples_per_second": 39.242,
+    "train_steps_per_second": 0.281
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.67,
+    "eval_accuracy": 0.9680851063829787,
+    "eval_loss": 0.06822928786277771,
+    "eval_runtime": 2.886,
+    "eval_samples_per_second": 32.571,
+    "eval_steps_per_second": 1.039
+}

runs/Jan31_19-50-51_5e18ccaef1c7/events.out.tfevents.1706730759.5e18ccaef1c7.978.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a18024d42b676d6b5ed78cc91d3a7c712bbe83851d153fb74ef0276de574102
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.67,
+    "total_flos": 5.602696465869619e+16,
+    "train_loss": 0.04628414081202613,
+    "train_runtime": 64.1398,
+    "train_samples_per_second": 39.242,
+    "train_steps_per_second": 0.281
+}

trainer_state.json

@@ -0,0 +1,61 @@
+{
+  "best_metric": 0.9680851063829787,
+  "best_model_checkpoint": "classification_INE_v2-finetuned-eurosat/checkpoint-6",
+  "epoch": 2.6666666666666665,
+  "eval_steps": 500,
+  "global_step": 18,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.89,
+      "eval_accuracy": 0.9680851063829787,
+      "eval_loss": 0.06822928786277771,
+      "eval_runtime": 1.5962,
+      "eval_samples_per_second": 58.889,
+      "eval_steps_per_second": 1.879,
+      "step": 6
+    },
+    {
+      "epoch": 1.48,
+      "learning_rate": 2.5e-05,
+      "loss": 0.0563,
+      "step": 10
+    },
+    {
+      "epoch": 1.93,
+      "eval_accuracy": 0.9574468085106383,
+      "eval_loss": 0.096346914768219,
+      "eval_runtime": 1.5636,
+      "eval_samples_per_second": 60.119,
+      "eval_steps_per_second": 1.919,
+      "step": 13
+    },
+    {
+      "epoch": 2.67,
+      "eval_accuracy": 0.9574468085106383,
+      "eval_loss": 0.08702503144741058,
+      "eval_runtime": 1.5611,
+      "eval_samples_per_second": 60.213,
+      "eval_steps_per_second": 1.922,
+      "step": 18
+    },
+    {
+      "epoch": 2.67,
+      "step": 18,
+      "total_flos": 5.602696465869619e+16,
+      "train_loss": 0.04628414081202613,
+      "train_runtime": 64.1398,
+      "train_samples_per_second": 39.242,
+      "train_steps_per_second": 0.281
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 18,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 5.602696465869619e+16,
+  "trial_name": null,
+  "trial_params": null
+}