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 [judith0/classification_INE_v1](https://huggingface.co/judith0/classification_INE_v1) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0182
+- Loss: 0.0261
 - Accuracy: 1.0
 
 ## Model description

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.88,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.026061948388814926,
+    "eval_runtime": 1.5994,
+    "eval_samples_per_second": 53.771,
+    "eval_steps_per_second": 1.876,
+    "total_flos": 5.59772512916521e+16,
+    "train_loss": 0.10819435450765821,
+    "train_runtime": 65.0195,
+    "train_samples_per_second": 35.712,
+    "train_steps_per_second": 0.277
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.88,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.026061948388814926,
+    "eval_runtime": 1.5994,
+    "eval_samples_per_second": 53.771,
+    "eval_steps_per_second": 1.876
+}

runs/Jan24_04-52-37_8bcf3d55b05e/events.out.tfevents.1706072139.8bcf3d55b05e.20414.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2524b3d284ecbe1cbd763ffe16cdac0e1796d4bfae781257105b26c6b312aa36
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.88,
+    "total_flos": 5.59772512916521e+16,
+    "train_loss": 0.10819435450765821,
+    "train_runtime": 65.0195,
+    "train_samples_per_second": 35.712,
+    "train_steps_per_second": 0.277
+}

trainer_state.json

@@ -0,0 +1,61 @@
+{
+  "best_metric": 1.0,
+  "best_model_checkpoint": "classification_INE_v1-finetuned-eurosat/checkpoint-12",
+  "epoch": 2.88,
+  "eval_steps": 500,
+  "global_step": 18,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.96,
+      "eval_accuracy": 0.9883720930232558,
+      "eval_loss": 0.05282385274767876,
+      "eval_runtime": 2.6121,
+      "eval_samples_per_second": 32.923,
+      "eval_steps_per_second": 1.148,
+      "step": 6
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 2.5e-05,
+      "loss": 0.1411,
+      "step": 10
+    },
+    {
+      "epoch": 1.92,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.026061948388814926,
+      "eval_runtime": 1.5249,
+      "eval_samples_per_second": 56.398,
+      "eval_steps_per_second": 1.967,
+      "step": 12
+    },
+    {
+      "epoch": 2.88,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.018192628398537636,
+      "eval_runtime": 2.0332,
+      "eval_samples_per_second": 42.298,
+      "eval_steps_per_second": 1.476,
+      "step": 18
+    },
+    {
+      "epoch": 2.88,
+      "step": 18,
+      "total_flos": 5.59772512916521e+16,
+      "train_loss": 0.10819435450765821,
+      "train_runtime": 65.0195,
+      "train_samples_per_second": 35.712,
+      "train_steps_per_second": 0.277
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 18,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 5.59772512916521e+16,
+  "trial_name": null,
+  "trial_params": null
+}