dungeon-geo-morphs

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-large-patch16-224-in21k
 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
@@ -23,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9959595959595959
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-large-patch16-224-in21k-dungeon-geo-morphs-denoised-04Dec24-003
 
-This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the dungeon-geo-morphs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0444
-- Accuracy: 0.9960
+- Loss: 0.0725
+- Accuracy: 1.0
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 32.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.07251805812120438,
+    "eval_runtime": 6.8841,
+    "eval_samples_per_second": 71.905,
+    "eval_steps_per_second": 9.006,
+    "total_flos": 7.012786101918106e+17,
+    "train_loss": 0.44722552597522736,
+    "train_runtime": 549.2596,
+    "train_samples_per_second": 5.826,
+    "train_steps_per_second": 0.146
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 32.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 0.07251805812120438,
+    "eval_runtime": 6.8841,
+    "eval_samples_per_second": 71.905,
+    "eval_steps_per_second": 9.006
+}

runs/Dec04_11-19-00_2256fb19348a/events.out.tfevents.1733311852.2256fb19348a.185.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52bd1dc36b59477f5e3b62cca17c2affafc0610bbc7d8ff16d90b800941dccf9
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 32.0,
+    "total_flos": 7.012786101918106e+17,
+    "train_loss": 0.44722552597522736,
+    "train_runtime": 549.2596,
+    "train_samples_per_second": 5.826,
+    "train_steps_per_second": 0.146
+}

trainer_state.json

@@ -0,0 +1,179 @@
+{
+  "best_metric": 1.0,
+  "best_model_checkpoint": "vit-large-patch16-224-in21k-dungeon-geo-morphs-denoised-04Dec24-003/checkpoint-60",
+  "epoch": 32.0,
+  "eval_steps": 10,
+  "global_step": 80,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 4.0,
+      "grad_norm": 15.498607635498047,
+      "learning_rate": 2e-05,
+      "loss": 1.5126,
+      "step": 10
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.6383838383838384,
+      "eval_loss": 1.33207368850708,
+      "eval_runtime": 6.5954,
+      "eval_samples_per_second": 75.052,
+      "eval_steps_per_second": 9.4,
+      "step": 10
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 16.96432113647461,
+      "learning_rate": 1.7222222222222224e-05,
+      "loss": 1.049,
+      "step": 20
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.8444444444444444,
+      "eval_loss": 0.7613236904144287,
+      "eval_runtime": 6.9925,
+      "eval_samples_per_second": 70.79,
+      "eval_steps_per_second": 8.867,
+      "step": 20
+    },
+    {
+      "epoch": 12.0,
+      "grad_norm": 18.313573837280273,
+      "learning_rate": 1.4444444444444446e-05,
+      "loss": 0.5397,
+      "step": 30
+    },
+    {
+      "epoch": 12.0,
+      "eval_accuracy": 0.9434343434343434,
+      "eval_loss": 0.4086134731769562,
+      "eval_runtime": 6.411,
+      "eval_samples_per_second": 77.211,
+      "eval_steps_per_second": 9.671,
+      "step": 30
+    },
+    {
+      "epoch": 16.0,
+      "grad_norm": 16.45941162109375,
+      "learning_rate": 1.1666666666666668e-05,
+      "loss": 0.2381,
+      "step": 40
+    },
+    {
+      "epoch": 16.0,
+      "eval_accuracy": 0.98989898989899,
+      "eval_loss": 0.20247994363307953,
+      "eval_runtime": 7.3649,
+      "eval_samples_per_second": 67.21,
+      "eval_steps_per_second": 8.418,
+      "step": 40
+    },
+    {
+      "epoch": 20.0,
+      "grad_norm": 10.92023754119873,
+      "learning_rate": 8.888888888888888e-06,
+      "loss": 0.1152,
+      "step": 50
+    },
+    {
+      "epoch": 20.0,
+      "eval_accuracy": 0.98989898989899,
+      "eval_loss": 0.11596124619245529,
+      "eval_runtime": 6.844,
+      "eval_samples_per_second": 72.327,
+      "eval_steps_per_second": 9.059,
+      "step": 50
+    },
+    {
+      "epoch": 24.0,
+      "grad_norm": 9.070709228515625,
+      "learning_rate": 6.111111111111112e-06,
+      "loss": 0.058,
+      "step": 60
+    },
+    {
+      "epoch": 24.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.07251805812120438,
+      "eval_runtime": 6.6661,
+      "eval_samples_per_second": 74.256,
+      "eval_steps_per_second": 9.301,
+      "step": 60
+    },
+    {
+      "epoch": 28.0,
+      "grad_norm": 8.501797676086426,
+      "learning_rate": 3.3333333333333333e-06,
+      "loss": 0.0392,
+      "step": 70
+    },
+    {
+      "epoch": 28.0,
+      "eval_accuracy": 0.98989898989899,
+      "eval_loss": 0.06781990826129913,
+      "eval_runtime": 6.4896,
+      "eval_samples_per_second": 76.276,
+      "eval_steps_per_second": 9.554,
+      "step": 70
+    },
+    {
+      "epoch": 32.0,
+      "grad_norm": 1.17595374584198,
+      "learning_rate": 5.555555555555555e-07,
+      "loss": 0.026,
+      "step": 80
+    },
+    {
+      "epoch": 32.0,
+      "eval_accuracy": 0.9959595959595959,
+      "eval_loss": 0.04437047615647316,
+      "eval_runtime": 6.7537,
+      "eval_samples_per_second": 73.293,
+      "eval_steps_per_second": 9.18,
+      "step": 80
+    },
+    {
+      "epoch": 32.0,
+      "step": 80,
+      "total_flos": 7.012786101918106e+17,
+      "train_loss": 0.44722552597522736,
+      "train_runtime": 549.2596,
+      "train_samples_per_second": 5.826,
+      "train_steps_per_second": 0.146
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 80,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 40,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.01
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 2
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7.012786101918106e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}