End of training

README.md

@@ -3,6 +3,9 @@ library_name: transformers
 license: other
 base_model: facebook/mask2former-swin-tiny-coco-instance
 tags:
+- image-segmentation
+- instance-segmentation
+- vision
 - generated_from_trainer
 model-index:
 - name: finetune-instance-segmentation-ade20k-mini-mask2former
@@ -14,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetune-instance-segmentation-ade20k-mini-mask2former
 
-This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on an unknown dataset.
+This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on the qubvel-hf/ade20k-mini dataset.
 It achieves the following results on the evaluation set:
 - Loss: 28.4481
 - Map: 0.2172

all_results.json

@@ -0,0 +1,28 @@
+{
+    "epoch": 4.0,
+    "test_loss": 28.440181732177734,
+    "test_map": 0.2172,
+    "test_map_50": 0.4234,
+    "test_map_75": 0.2041,
+    "test_map_car": 0.2867,
+    "test_map_large": 0.8076,
+    "test_map_medium": 0.6353,
+    "test_map_person": 0.1476,
+    "test_map_small": 0.1458,
+    "test_mar_1": 0.0953,
+    "test_mar_10": 0.254,
+    "test_mar_100": 0.2903,
+    "test_mar_100_car": 0.3755,
+    "test_mar_100_person": 0.205,
+    "test_mar_large": 0.8594,
+    "test_mar_medium": 0.7113,
+    "test_mar_small": 0.2169,
+    "test_runtime": 61.8717,
+    "test_samples_per_second": 5.334,
+    "test_steps_per_second": 0.679,
+    "total_flos": 3.574777289637888e+17,
+    "train_loss": 28.362115478515626,
+    "train_runtime": 686.6708,
+    "train_samples_per_second": 9.32,
+    "train_steps_per_second": 0.583
+}

runs/Jan02_16-10-56_mothership/events.out.tfevents.1735815223.mothership.56284.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7666d975e8bb71d5d098b09e9a1aac50e8b9f03b170028ca3711e9672e457166
+size 1194

test_results.json

@@ -0,0 +1,23 @@
+{
+    "epoch": 4.0,
+    "test_loss": 28.440181732177734,
+    "test_map": 0.2172,
+    "test_map_50": 0.4234,
+    "test_map_75": 0.2041,
+    "test_map_car": 0.2867,
+    "test_map_large": 0.8076,
+    "test_map_medium": 0.6353,
+    "test_map_person": 0.1476,
+    "test_map_small": 0.1458,
+    "test_mar_1": 0.0953,
+    "test_mar_10": 0.254,
+    "test_mar_100": 0.2903,
+    "test_mar_100_car": 0.3755,
+    "test_mar_100_person": 0.205,
+    "test_mar_large": 0.8594,
+    "test_mar_medium": 0.7113,
+    "test_mar_small": 0.2169,
+    "test_runtime": 61.8717,
+    "test_samples_per_second": 5.334,
+    "test_steps_per_second": 0.679
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.574777289637888e+17,
+    "train_loss": 28.362115478515626,
+    "train_runtime": 686.6708,
+    "train_samples_per_second": 9.32,
+    "train_steps_per_second": 0.583
+}

trainer_state.json

@@ -0,0 +1,166 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.0,
+  "eval_steps": 500,
+  "global_step": 400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 294.3598327636719,
+      "learning_rate": 1e-05,
+      "loss": 33.5412,
+      "step": 100
+    },
+    {
+      "epoch": 1.0,
+      "eval_loss": 31.532806396484375,
+      "eval_map": 0.1929,
+      "eval_map_50": 0.3918,
+      "eval_map_75": 0.1737,
+      "eval_map_car": 0.2558,
+      "eval_map_large": 0.7895,
+      "eval_map_medium": 0.6122,
+      "eval_map_person": 0.13,
+      "eval_map_small": 0.1281,
+      "eval_mar_1": 0.0904,
+      "eval_mar_10": 0.2473,
+      "eval_mar_100": 0.2836,
+      "eval_mar_100_car": 0.3672,
+      "eval_mar_100_person": 0.2001,
+      "eval_mar_large": 0.8229,
+      "eval_mar_medium": 0.7063,
+      "eval_mar_small": 0.2105,
+      "eval_runtime": 55.4841,
+      "eval_samples_per_second": 5.948,
+      "eval_steps_per_second": 0.757,
+      "step": 100
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 104.88582611083984,
+      "learning_rate": 1e-05,
+      "loss": 27.9471,
+      "step": 200
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 29.718120574951172,
+      "eval_map": 0.2053,
+      "eval_map_50": 0.4151,
+      "eval_map_75": 0.1851,
+      "eval_map_car": 0.2741,
+      "eval_map_large": 0.8018,
+      "eval_map_medium": 0.6192,
+      "eval_map_person": 0.1364,
+      "eval_map_small": 0.1387,
+      "eval_mar_1": 0.093,
+      "eval_mar_10": 0.2507,
+      "eval_mar_100": 0.2872,
+      "eval_mar_100_car": 0.3714,
+      "eval_mar_100_person": 0.2029,
+      "eval_mar_large": 0.8323,
+      "eval_mar_medium": 0.7079,
+      "eval_mar_small": 0.2142,
+      "eval_runtime": 61.2008,
+      "eval_samples_per_second": 5.392,
+      "eval_steps_per_second": 0.686,
+      "step": 200
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 156.72207641601562,
+      "learning_rate": 1e-05,
+      "loss": 26.4855,
+      "step": 300
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 28.978605270385742,
+      "eval_map": 0.2134,
+      "eval_map_50": 0.4219,
+      "eval_map_75": 0.1945,
+      "eval_map_car": 0.2837,
+      "eval_map_large": 0.8047,
+      "eval_map_medium": 0.6255,
+      "eval_map_person": 0.143,
+      "eval_map_small": 0.1451,
+      "eval_mar_1": 0.0944,
+      "eval_mar_10": 0.2543,
+      "eval_mar_100": 0.2918,
+      "eval_mar_100_car": 0.3777,
+      "eval_mar_100_person": 0.2059,
+      "eval_mar_large": 0.8594,
+      "eval_mar_medium": 0.7045,
+      "eval_mar_small": 0.2198,
+      "eval_runtime": 61.9496,
+      "eval_samples_per_second": 5.327,
+      "eval_steps_per_second": 0.678,
+      "step": 300
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 159.6126708984375,
+      "learning_rate": 1e-05,
+      "loss": 25.4746,
+      "step": 400
+    },
+    {
+      "epoch": 4.0,
+      "eval_loss": 28.44811248779297,
+      "eval_map": 0.2172,
+      "eval_map_50": 0.4234,
+      "eval_map_75": 0.2041,
+      "eval_map_car": 0.2867,
+      "eval_map_large": 0.8076,
+      "eval_map_medium": 0.6353,
+      "eval_map_person": 0.1476,
+      "eval_map_small": 0.1458,
+      "eval_mar_1": 0.0953,
+      "eval_mar_10": 0.254,
+      "eval_mar_100": 0.2903,
+      "eval_mar_100_car": 0.3755,
+      "eval_mar_100_person": 0.205,
+      "eval_mar_large": 0.8594,
+      "eval_mar_medium": 0.7113,
+      "eval_mar_small": 0.2169,
+      "eval_runtime": 62.2166,
+      "eval_samples_per_second": 5.304,
+      "eval_steps_per_second": 0.675,
+      "step": 400
+    },
+    {
+      "epoch": 4.0,
+      "step": 400,
+      "total_flos": 3.574777289637888e+17,
+      "train_loss": 28.362115478515626,
+      "train_runtime": 686.6708,
+      "train_samples_per_second": 9.32,
+      "train_steps_per_second": 0.583
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 400,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.574777289637888e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}