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-posture
@@ -14,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetune-instance-segmentation-posture
 
-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: 30.5625
 - Map: 0.2089

all_results.json

@@ -0,0 +1,28 @@
+{
+    "epoch": 2.0,
+    "test_loss": 30.520662307739258,
+    "test_map": 0.2089,
+    "test_map_50": 0.4081,
+    "test_map_75": 0.1963,
+    "test_map_car": 0.2797,
+    "test_map_large": 0.8115,
+    "test_map_medium": 0.6277,
+    "test_map_person": 0.1381,
+    "test_map_small": 0.1412,
+    "test_mar_1": 0.0944,
+    "test_mar_10": 0.25,
+    "test_mar_100": 0.2879,
+    "test_mar_100_car": 0.3722,
+    "test_mar_100_person": 0.2036,
+    "test_mar_large": 0.8531,
+    "test_mar_medium": 0.7147,
+    "test_mar_small": 0.2137,
+    "test_runtime": 95.4576,
+    "test_samples_per_second": 3.457,
+    "test_steps_per_second": 0.44,
+    "total_flos": 1.787388644818944e+17,
+    "train_loss": 31.292569580078126,
+    "train_runtime": 355.6302,
+    "train_samples_per_second": 8.998,
+    "train_steps_per_second": 0.562
+}

test_results.json

@@ -0,0 +1,23 @@
+{
+    "epoch": 2.0,
+    "test_loss": 30.520662307739258,
+    "test_map": 0.2089,
+    "test_map_50": 0.4081,
+    "test_map_75": 0.1963,
+    "test_map_car": 0.2797,
+    "test_map_large": 0.8115,
+    "test_map_medium": 0.6277,
+    "test_map_person": 0.1381,
+    "test_map_small": 0.1412,
+    "test_mar_1": 0.0944,
+    "test_mar_10": 0.25,
+    "test_mar_100": 0.2879,
+    "test_mar_100_car": 0.3722,
+    "test_mar_100_person": 0.2036,
+    "test_mar_large": 0.8531,
+    "test_mar_medium": 0.7147,
+    "test_mar_small": 0.2137,
+    "test_runtime": 95.4576,
+    "test_samples_per_second": 3.457,
+    "test_steps_per_second": 0.44
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "total_flos": 1.787388644818944e+17,
+    "train_loss": 31.292569580078126,
+    "train_runtime": 355.6302,
+    "train_samples_per_second": 8.998,
+    "train_steps_per_second": 0.562
+}

trainer_state.json

@@ -0,0 +1,104 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 349.9459228515625,
+      "learning_rate": 1e-05,
+      "loss": 34.1337,
+      "step": 100
+    },
+    {
+      "epoch": 1.0,
+      "eval_loss": 32.34307861328125,
+      "eval_map": 0.1958,
+      "eval_map_50": 0.3913,
+      "eval_map_75": 0.181,
+      "eval_map_car": 0.2673,
+      "eval_map_large": 0.7775,
+      "eval_map_medium": 0.6051,
+      "eval_map_person": 0.1243,
+      "eval_map_small": 0.1319,
+      "eval_mar_1": 0.0924,
+      "eval_mar_10": 0.2465,
+      "eval_mar_100": 0.2845,
+      "eval_mar_100_car": 0.3689,
+      "eval_mar_100_person": 0.2001,
+      "eval_mar_large": 0.8587,
+      "eval_mar_medium": 0.7094,
+      "eval_mar_small": 0.2104,
+      "eval_runtime": 74.5282,
+      "eval_samples_per_second": 4.428,
+      "eval_steps_per_second": 0.564,
+      "step": 100
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 296.57305908203125,
+      "learning_rate": 1e-05,
+      "loss": 28.4514,
+      "step": 200
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 30.562538146972656,
+      "eval_map": 0.2089,
+      "eval_map_50": 0.4081,
+      "eval_map_75": 0.1963,
+      "eval_map_car": 0.2797,
+      "eval_map_large": 0.8115,
+      "eval_map_medium": 0.6277,
+      "eval_map_person": 0.1381,
+      "eval_map_small": 0.1412,
+      "eval_mar_1": 0.0944,
+      "eval_mar_10": 0.25,
+      "eval_mar_100": 0.2879,
+      "eval_mar_100_car": 0.3722,
+      "eval_mar_100_person": 0.2036,
+      "eval_mar_large": 0.8531,
+      "eval_mar_medium": 0.7147,
+      "eval_mar_small": 0.2137,
+      "eval_runtime": 73.4438,
+      "eval_samples_per_second": 4.493,
+      "eval_steps_per_second": 0.572,
+      "step": 200
+    },
+    {
+      "epoch": 2.0,
+      "step": 200,
+      "total_flos": 1.787388644818944e+17,
+      "train_loss": 31.292569580078126,
+      "train_runtime": 355.6302,
+      "train_samples_per_second": 8.998,
+      "train_steps_per_second": 0.562
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "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": 1.787388644818944e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}