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checkpoints/000001/pretrained_model/README.md

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+---
+library_name: lerobot
+tags:
+- model_hub_mixin
+- pytorch_model_hub_mixin
+- robotics
+- vision-classifier
+---
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: https://github.com/huggingface/lerobot
+- Docs: [More Information Needed]

checkpoints/000001/pretrained_model/config.json

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+  "hidden_dim": 256,
+  "model_name": "facebook/convnext-base-224",
+  "model_type": "cnn",
+  "num_classes": 2
+}

checkpoints/000001/pretrained_model/config.yaml

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+  task: binary_classification
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checkpoints/best/pretrained_model/README.md

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+---
+library_name: lerobot
+tags:
+- model_hub_mixin
+- pytorch_model_hub_mixin
+- robotics
+- vision-classifier
+---
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: https://github.com/huggingface/lerobot
+- Docs: [More Information Needed]

checkpoints/best/pretrained_model/config.json

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+  "model_name": "facebook/convnext-base-224",
+  "model_type": "cnn",
+  "num_classes": 2
+}

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+2024-12-24 16:22:30,757 INFO    MainThread:15843 [wandb_init.py:init():617] calling init triggers
+2024-12-24 16:22:30,757 INFO    MainThread:15843 [wandb_init.py:init():624] wandb.init called with sweep_config: {}
+config: {'seed': 13, 'dataset_repo_id': 'helper2424/hil-serl-push-circle-classifier', 'train_split_proportion': 0.8, 'env': {'name': 'classifier', 'task': 'binary_classification'}, 'training': {'num_epochs': 5, 'batch_size': 16, 'learning_rate': 0.0001, 'num_workers': 4, 'grad_clip_norm': 10, 'use_amp': False, 'log_freq': 1, 'eval_freq': 1, 'save_freq': 1, 'save_checkpoint': True, 'image_key': 'observation.images.web0', 'label_key': 'next.reward'}, 'eval': {'batch_size': 16, 'num_samples_to_log': 30}, 'policy': {'name': 'hilserl/classifier', 'model_name': 'facebook/convnext-base-224', 'model_type': 'cnn'}, 'wandb': {'enable': True, 'project': 'classifier-training', 'entity': 'wandb_entity', 'job_name': 'classifier_training_0', 'disable_artifact': False}, 'device': 'cpu', 'resume': False, 'output_dir': 'outputs/hilserl_classifier'}
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+2024-12-24 16:22:30,757 INFO    MainThread:15843 [wandb_init.py:init():671] sending inform_init request
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+2024-12-24 16:22:30,767 INFO    MainThread:15843 [wandb_init.py:init():779] updated telemetry
+2024-12-24 16:22:30,792 INFO    MainThread:15843 [wandb_init.py:init():812] communicating run to backend with 90.0 second timeout
+2024-12-24 16:22:31,134 ERROR   MainThread:15843 [wandb_init.py:init():838] encountered error: failed to upsert bucket: returned error 403 Forbidden: {"errors":[{"message":"permission denied","path":["upsertBucket"],"extensions":{"code":"PERMISSION_ERROR"}}],"data":{"upsertBucket":null}}
+2024-12-24 16:22:31,134 ERROR   MainThread:15843 [wandb_init.py:init():1262] error in wandb.init()
+Traceback (most recent call last):
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 1252, in init
+    return wi.init()
+           ^^^^^^^^^
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 844, in init
+    raise error
+wandb.errors.errors.CommError: failed to upsert bucket: returned error 403 Forbidden: {"errors":[{"message":"permission denied","path":["upsertBucket"],"extensions":{"code":"PERMISSION_ERROR"}}],"data":{"upsertBucket":null}}
+2024-12-24 16:22:31,321 WARNING MsgRouterThr:15843 [router.py:message_loop():77] message_loop has been closed

wandb/run-20241224_173015-uessfemf/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.18.3
+        m: []
+        python_version: 3.12.7
+        t:
+            "1":
+                - 1
+                - 11
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+            "4": 3.12.7
+            "5": 0.18.3
+            "6": 4.47.1
+            "8":
+                - 5
+            "12": 0.18.3
+            "13": darwin-arm64
+dataset_repo_id:
+    value: helper2424/hil-serl-push-circle-classifier
+device:
+    value: cpu
+env:
+    value:
+        name: classifier
+        task: binary_classification
+eval:
+    value:
+        batch_size: 16
+        num_samples_to_log: 30
+output_dir:
+    value: outputs/hilserl_classifier
+policy:
+    value:
+        model_name: facebook/convnext-base-224
+        model_type: cnn
+        name: hilserl/classifier
+resume:
+    value: false
+seed:
+    value: 13
+train_split_proportion:
+    value: 0.8
+training:
+    value:
+        batch_size: 16
+        eval_freq: 1
+        grad_clip_norm: 10
+        image_key: observation.images.web0
+        label_key: next.reward
+        learning_rate: 0.0001
+        log_freq: 1
+        num_epochs: 5
+        num_workers: 4
+        save_checkpoint: true
+        save_freq: 1
+        use_amp: false
+wandb:
+    value:
+        disable_artifact: false
+        enable: true
+        entity: wandb_entity
+        job_name: classifier_training_0
+        project: classifier-training

wandb/run-20241224_173015-uessfemf/files/wandb-summary.json

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+{"time":"2024-12-24T17:30:15.977144+07:00","level":"WARN","msg":"No requirements.txt found, not creating job artifact. See https://docs.wandb.ai/guides/launch/create-job"}
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wandb/run-20241224_173015-uessfemf/logs/debug.log

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+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Current SDK version is 0.18.3
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Configure stats pid to 37961
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Loading settings from /Users/helper2424/.config/wandb/settings
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Loading settings from /Users/helper2424/Documents/lerobot/wandb/settings
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Loading settings from environment variables: {'silent': 'true'}
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program_relpath': 'lerobot/scripts/train_hilserl_classifier.py', 'program_abspath': '/Users/helper2424/Documents/lerobot/lerobot/scripts/train_hilserl_classifier.py', 'program': '/Users/helper2424/Documents/lerobot/lerobot/scripts/train_hilserl_classifier.py'}
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information.
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_setup.py:_flush():79] Applying login settings: {}
+2024-12-24 17:30:15,080 INFO    MainThread:37961 [wandb_init.py:_log_setup():532] Logging user logs to outputs/hilserl_classifier/wandb/run-20241224_173015-uessfemf/logs/debug.log
+2024-12-24 17:30:15,081 INFO    MainThread:37961 [wandb_init.py:_log_setup():533] Logging internal logs to outputs/hilserl_classifier/wandb/run-20241224_173015-uessfemf/logs/debug-internal.log
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+2024-12-24 17:30:15,081 INFO    MainThread:37961 [wandb_init.py:init():624] wandb.init called with sweep_config: {}
+config: {'seed': 13, 'dataset_repo_id': 'helper2424/hil-serl-push-circle-classifier', 'train_split_proportion': 0.8, 'env': {'name': 'classifier', 'task': 'binary_classification'}, 'training': {'num_epochs': 5, 'batch_size': 16, 'learning_rate': 0.0001, 'num_workers': 4, 'grad_clip_norm': 10, 'use_amp': False, 'log_freq': 1, 'eval_freq': 1, 'save_freq': 1, 'save_checkpoint': True, 'image_key': 'observation.images.web0', 'label_key': 'next.reward'}, 'eval': {'batch_size': 16, 'num_samples_to_log': 30}, 'policy': {'name': 'hilserl/classifier', 'model_name': 'facebook/convnext-base-224', 'model_type': 'cnn'}, 'wandb': {'enable': True, 'project': 'classifier-training', 'entity': 'wandb_entity', 'job_name': 'classifier_training_0', 'disable_artifact': False}, 'device': 'cpu', 'resume': False, 'output_dir': 'outputs/hilserl_classifier'}
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+2024-12-24 17:30:15,507 ERROR   MainThread:37961 [wandb_init.py:init():1262] error in wandb.init()
+Traceback (most recent call last):
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 1252, in init
+    return wi.init()
+           ^^^^^^^^^
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 844, in init
+    raise error
+wandb.errors.errors.CommError: failed to upsert bucket: returned error 403 Forbidden: {"errors":[{"message":"permission denied","path":["upsertBucket"],"extensions":{"code":"PERMISSION_ERROR"}}],"data":{"upsertBucket":null}}
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wandb/run-20241224_173934-bz97nspp/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.18.3
+        m: []
+        python_version: 3.12.7
+        t:
+            "1":
+                - 1
+                - 11
+                - 41
+                - 49
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+            "6": 4.47.1
+            "8":
+                - 5
+            "12": 0.18.3
+            "13": darwin-arm64
+dataset_repo_id:
+    value: helper2424/hil-serl-push-circle-classifier
+device:
+    value: cpu
+env:
+    value:
+        name: classifier
+        task: binary_classification
+eval:
+    value:
+        batch_size: 16
+        num_samples_to_log: 30
+output_dir:
+    value: outputs/hilserl_classifier
+policy:
+    value:
+        model_name: facebook/convnext-base-224
+        model_type: cnn
+        name: hilserl/classifier
+resume:
+    value: false
+seed:
+    value: 13
+train_split_proportion:
+    value: 0.8
+training:
+    value:
+        batch_size: 16
+        eval_freq: 1
+        grad_clip_norm: 10
+        image_key: observation.images.web0
+        label_key: next.reward
+        learning_rate: 0.0001
+        log_freq: 1
+        num_epochs: 5
+        num_workers: 4
+        save_checkpoint: true
+        save_freq: 1
+        use_amp: false
+wandb:
+    value:
+        disable_artifact: false
+        enable: true
+        entity: wandb_entity
+        job_name: classifier_training_0
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+2024-12-24 17:39:34,662 INFO    MainThread:46052 [wandb_init.py:_log_setup():533] Logging internal logs to outputs/hilserl_classifier/wandb/run-20241224_173934-bz97nspp/logs/debug-internal.log
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+2024-12-24 17:39:34,662 INFO    MainThread:46052 [wandb_init.py:init():624] wandb.init called with sweep_config: {}
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+2024-12-24 17:39:35,073 ERROR   MainThread:46052 [wandb_init.py:init():1262] error in wandb.init()
+Traceback (most recent call last):
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 1252, in init
+    return wi.init()
+           ^^^^^^^^^
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 844, in init
+    raise error
+wandb.errors.errors.CommError: failed to upsert bucket: returned error 403 Forbidden: {"errors":[{"message":"permission denied","path":["upsertBucket"],"extensions":{"code":"PERMISSION_ERROR"}}],"data":{"upsertBucket":null}}
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wandb/run-20241225_135926-e753v25m/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.18.3
+        m: []
+        python_version: 3.12.7
+        t:
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+            "8":
+                - 5
+            "12": 0.18.3
+            "13": darwin-arm64
+dataset_repo_id:
+    value: helper2424/hil-serl-push-circle-classifier
+device:
+    value: cpu
+env:
+    value:
+        name: classifier
+        task: binary_classification
+eval:
+    value:
+        batch_size: 16
+        num_samples_to_log: 30
+output_dir:
+    value: outputs/hilserl_classifier
+policy:
+    value:
+        model_name: facebook/convnext-base-224
+        model_type: cnn
+        name: hilserl/classifier
+resume:
+    value: false
+seed:
+    value: 13
+train_split_proportion:
+    value: 0.8
+training:
+    value:
+        batch_size: 16
+        eval_freq: 1
+        grad_clip_norm: 10
+        image_key: observation.images.web0
+        label_key: next.reward
+        learning_rate: 0.0001
+        log_freq: 1
+        num_epochs: 5
+        num_workers: 4
+        save_checkpoint: true
+        save_freq: 1
+        use_amp: false
+wandb:
+    value:
+        disable_artifact: false
+        enable: true
+        entity: wandb_entity
+        job_name: classifier_training_0
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wandb/run-20241225_135926-e753v25m/files/wandb-summary.json

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+{"time":"2024-12-25T13:59:27.052617+07:00","level":"WARN","msg":"No requirements.txt found, not creating job artifact. See https://docs.wandb.ai/guides/launch/create-job"}
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wandb/run-20241225_135926-e753v25m/logs/debug.log

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+2024-12-25 13:59:26,219 INFO    MainThread:24086 [wandb_setup.py:_flush():79] Current SDK version is 0.18.3
+2024-12-25 13:59:26,219 INFO    MainThread:24086 [wandb_setup.py:_flush():79] Configure stats pid to 24086
+2024-12-25 13:59:26,219 INFO    MainThread:24086 [wandb_setup.py:_flush():79] Loading settings from /Users/helper2424/.config/wandb/settings
+2024-12-25 13:59:26,219 INFO    MainThread:24086 [wandb_setup.py:_flush():79] Loading settings from /Users/helper2424/Documents/lerobot/wandb/settings
+2024-12-25 13:59:26,219 INFO    MainThread:24086 [wandb_setup.py:_flush():79] Loading settings from environment variables: {'silent': 'true'}
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+2024-12-25 13:59:26,219 INFO    MainThread:24086 [wandb_init.py:_log_setup():533] Logging internal logs to outputs/hilserl_classifier/wandb/run-20241225_135926-e753v25m/logs/debug-internal.log
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+2024-12-25 13:59:26,220 INFO    MainThread:24086 [wandb_init.py:init():624] wandb.init called with sweep_config: {}
+config: {'seed': 13, 'dataset_repo_id': 'helper2424/hil-serl-push-circle-classifier', 'train_split_proportion': 0.8, 'env': {'name': 'classifier', 'task': 'binary_classification'}, 'training': {'num_epochs': 5, 'batch_size': 16, 'learning_rate': 0.0001, 'num_workers': 4, 'grad_clip_norm': 10, 'use_amp': False, 'log_freq': 1, 'eval_freq': 1, 'save_freq': 1, 'save_checkpoint': True, 'image_key': 'observation.images.web0', 'label_key': 'next.reward'}, 'eval': {'batch_size': 16, 'num_samples_to_log': 30}, 'policy': {'name': 'hilserl/classifier', 'model_name': 'facebook/convnext-base-224', 'model_type': 'cnn'}, 'wandb': {'enable': True, 'project': 'classifier-training', 'entity': 'wandb_entity', 'job_name': 'classifier_training_0', 'disable_artifact': False}, 'device': 'cpu', 'resume': False, 'output_dir': 'outputs/hilserl_classifier'}
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+2024-12-25 13:59:26,592 ERROR   MainThread:24086 [wandb_init.py:init():1262] error in wandb.init()
+Traceback (most recent call last):
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 1252, in init
+    return wi.init()
+           ^^^^^^^^^
+  File "/Users/helper2424/Library/Caches/pypoetry/virtualenvs/lerobot-_GqtL9sV-py3.12/lib/python3.12/site-packages/wandb/sdk/wandb_init.py", line 844, in init
+    raise error
+wandb.errors.errors.CommError: failed to upsert bucket: returned error 403 Forbidden: {"errors":[{"message":"permission denied","path":["upsertBucket"],"extensions":{"code":"PERMISSION_ERROR"}}],"data":{"upsertBucket":null}}
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wandb/run-20241225_142000-h6ghwzrz/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.18.3
+        m: []
+        python_version: 3.12.7
+        t:
+            "1":
+                - 1
+                - 11
+                - 41
+                - 49
+                - 50
+                - 51
+                - 55
+            "3":
+                - 13
+                - 15
+                - 16
+                - 23
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+            "4": 3.12.7
+            "5": 0.18.3
+            "6": 4.47.1
+            "8":
+                - 5
+            "12": 0.18.3
+            "13": darwin-arm64
+dataset_repo_id:
+    value: helper2424/hil-serl-push-circle-classifier
+device:
+    value: mps
+env:
+    value:
+        name: classifier
+        task: binary_classification
+eval:
+    value:
+        batch_size: 16
+        num_samples_to_log: 30
+output_dir:
+    value: outputs/hilserl_classifier
+policy:
+    value:
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+        model_type: cnn
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+Traceback (most recent call last):
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+    return wi.init()
+           ^^^^^^^^^
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+    raise error
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+        image_key: observation.images.web0
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