dungeon-geo-morphs

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-large-patch16-224
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-large-patch16-224-dungeon-geo-morphs-003
 
-This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0149
 - Accuracy: 1.0

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 20.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.014940645545721054,
+    "eval_runtime": 0.5564,
+    "eval_samples_per_second": 53.913,
+    "eval_steps_per_second": 7.188,
+    "total_flos": 2.5749899927506944e+17,
+    "train_loss": 0.3753979325294495,
+    "train_runtime": 261.4196,
+    "train_samples_per_second": 5.394,
+    "train_steps_per_second": 0.115
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 20.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.014940645545721054,
+    "eval_runtime": 0.5564,
+    "eval_samples_per_second": 53.913,
+    "eval_steps_per_second": 7.188
+}

runs/Nov12_20-05-00_e70294a1d14b/events.out.tfevents.1731442375.e70294a1d14b.926.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e149e051fd759f541c6681e3da80fc5a3dea7adb9ff19a72a48b901f2e95a7eb
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 20.0,
+    "total_flos": 2.5749899927506944e+17,
+    "train_loss": 0.3753979325294495,
+    "train_runtime": 261.4196,
+    "train_samples_per_second": 5.394,
+    "train_steps_per_second": 0.115
+}

trainer_state.json

@@ -0,0 +1,99 @@
+{
+  "best_metric": 0.014940645545721054,
+  "best_model_checkpoint": "vit-large-patch16-224-dungeon-geo-morphs-003/checkpoint-30",
+  "epoch": 20.0,
+  "eval_steps": 10,
+  "global_step": 30,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
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+      "grad_norm": 16.259380340576172,
+      "learning_rate": 1.555555555555556e-05,
+      "loss": 0.8585,
+      "step": 10
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+      "eval_accuracy": 1.0,
+      "eval_loss": 0.22037966549396515,
+      "eval_runtime": 0.4272,
+      "eval_samples_per_second": 70.221,
+      "eval_steps_per_second": 9.363,
+      "step": 10
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+    {
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+      "grad_norm": 11.522974014282227,
+      "learning_rate": 8.148148148148148e-06,
+      "loss": 0.2115,
+      "step": 20
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+      "eval_accuracy": 1.0,
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+      "eval_runtime": 0.4534,
+      "eval_samples_per_second": 66.17,
+      "eval_steps_per_second": 8.823,
+      "step": 20
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+      "grad_norm": 2.805919885635376,
+      "learning_rate": 7.407407407407407e-07,
+      "loss": 0.0562,
+      "step": 30
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+      "eval_runtime": 0.4826,
+      "eval_samples_per_second": 62.163,
+      "eval_steps_per_second": 8.288,
+      "step": 30
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+      "total_flos": 2.5749899927506944e+17,
+      "train_loss": 0.3753979325294495,
+      "train_runtime": 261.4196,
+      "train_samples_per_second": 5.394,
+      "train_steps_per_second": 0.115
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+  ],
+  "logging_steps": 10,
+  "max_steps": 30,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 30,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.01
+      },
+      "attributes": {
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+    "TrainerControl": {
+      "args": {
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+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
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+      "attributes": {}
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+  "total_flos": 2.5749899927506944e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}