Upload model_metadata.json (v20251019_124350)
Browse files- model_metadata.json +19 -19
model_metadata.json
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@@ -1,8 +1,8 @@
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{
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"model_name": "mr-kush/dummy-dept",
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"self.version_tag": "
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"commit_message": "Auto-deploy: \u0394F1 >= 0.0010",
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"timestamp_utc": "
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"author": "mr-kush",
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"training_args": {
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"output_dir": "trainer_output",
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@@ -154,40 +154,40 @@
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},
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"eval_metrics": {
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"Municipal Governance & Community Services": {
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"precision": 0.
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"recall": 0.
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"f1-score": 0.
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"support": 126.0
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},
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"Education, Health & Social Welfare": {
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"precision": 0.
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"recall": 0.9922480620155039,
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"f1-score": 0.
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"support": 129.0
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},
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"Infrastructure, Utilities & Natural Resources": {
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"precision": 0.
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"recall": 0.9770992366412213,
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"f1-score": 0.
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"support": 131.0
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},
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"Security & Law Enforcement": {
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"precision": 0.
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"recall": 0.
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"f1-score": 0.
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"support": 214.0
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},
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"accuracy": 0.
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"macro avg": {
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"precision": 0.
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"recall": 0.
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"f1-score": 0.
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"support": 600.0
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},
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"weighted avg": {
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"precision": 0.
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"recall": 0.
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"f1-score": 0.
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"support": 600.0
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}
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}
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{
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"model_name": "mr-kush/dummy-dept",
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"self.version_tag": "v20251019_124350",
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"commit_message": "Auto-deploy: \u0394F1 >= 0.0010",
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"timestamp_utc": "20251019_124350",
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"author": "mr-kush",
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"training_args": {
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"output_dir": "trainer_output",
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},
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"eval_metrics": {
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"Municipal Governance & Community Services": {
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"precision": 0.9508196721311475,
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| 158 |
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"recall": 0.9206349206349206,
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| 159 |
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"f1-score": 0.9354838709677419,
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"support": 126.0
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},
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"Education, Health & Social Welfare": {
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"precision": 0.9770992366412213,
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"recall": 0.9922480620155039,
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"f1-score": 0.9846153846153847,
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"support": 129.0
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},
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"Infrastructure, Utilities & Natural Resources": {
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"precision": 0.9696969696969697,
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"recall": 0.9770992366412213,
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"f1-score": 0.973384030418251,
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"support": 131.0
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},
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"Security & Law Enforcement": {
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"precision": 0.9627906976744186,
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"recall": 0.9672897196261683,
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| 177 |
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"f1-score": 0.965034965034965,
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"support": 214.0
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},
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"accuracy": 0.965,
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"macro avg": {
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"precision": 0.9651016440359393,
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"recall": 0.9643179847294534,
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"f1-score": 0.9646295627590856,
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"support": 600.0
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},
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"weighted avg": {
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"precision": 0.9648609875797847,
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"recall": 0.965,
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"f1-score": 0.9648619047659891,
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"support": 600.0
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}
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}
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