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
 datasets:
 - imagefolder
@@ -15,7 +16,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: dungeon-geo-morphs
       type: imagefolder
       config: default
       split: validation
@@ -31,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-large-patch16-224-dungeon-geo-morphs-005
 
-This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder 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: 0.0719
 - Accuracy: 0.9722

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 19.857142857142858,
+    "eval_accuracy": 0.9722222222222222,
+    "eval_loss": 0.0719214677810669,
+    "eval_runtime": 0.8479,
+    "eval_samples_per_second": 42.456,
+    "eval_steps_per_second": 5.897,
+    "total_flos": 2.6297770138730496e+17,
+    "train_loss": 0.20446500703692436,
+    "train_runtime": 171.6149,
+    "train_samples_per_second": 8.741,
+    "train_steps_per_second": 0.175
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 19.857142857142858,
+    "eval_accuracy": 0.9722222222222222,
+    "eval_loss": 0.0719214677810669,
+    "eval_runtime": 0.8479,
+    "eval_samples_per_second": 42.456,
+    "eval_steps_per_second": 5.897
+}

runs/Nov13_16-32-18_7700b6860981/events.out.tfevents.1731515902.7700b6860981.865.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9142de8ae339f7306a55827888df24a6d8c5b583af7cd4bb5f3da37ac1459f4e
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 19.857142857142858,
+    "total_flos": 2.6297770138730496e+17,
+    "train_loss": 0.20446500703692436,
+    "train_runtime": 171.6149,
+    "train_samples_per_second": 8.741,
+    "train_steps_per_second": 0.175
+}

trainer_state.json

@@ -0,0 +1,99 @@
+{
+  "best_metric": 0.0719214677810669,
+  "best_model_checkpoint": "vit-large-patch16-224-dungeon-geo-morphs-005/checkpoint-30",
+  "epoch": 19.857142857142858,
+  "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": 8.417182922363281,
+      "learning_rate": 1.4814814814814815e-05,
+      "loss": 0.582,
+      "step": 10
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+      "eval_accuracy": 0.9722222222222222,
+      "eval_loss": 0.1846093088388443,
+      "eval_runtime": 0.5165,
+      "eval_samples_per_second": 69.702,
+      "eval_steps_per_second": 9.681,
+      "step": 10
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+    {
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+      "grad_norm": 0.3049335479736328,
+      "learning_rate": 7.4074074074074075e-06,
+      "loss": 0.0293,
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+      "eval_accuracy": 0.9722222222222222,
+      "eval_loss": 0.0765586718916893,
+      "eval_runtime": 0.7074,
+      "eval_samples_per_second": 50.89,
+      "eval_steps_per_second": 7.068,
+      "step": 20
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+      "learning_rate": 0.0,
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+      "eval_accuracy": 0.9722222222222222,
+      "eval_loss": 0.0719214677810669,
+      "eval_runtime": 0.5559,
+      "eval_samples_per_second": 64.756,
+      "eval_steps_per_second": 8.994,
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+      "total_flos": 2.6297770138730496e+17,
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+      "train_runtime": 171.6149,
+      "train_samples_per_second": 8.741,
+      "train_steps_per_second": 0.175
+    }
+  ],
+  "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
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+      "attributes": {
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+    "TrainerControl": {
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+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
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+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}