Training in progress, step 1000

eval/binary_classification_evaluation_test_results.csv

@@ -78,3 +78,4 @@ epoch,steps,cosine_accuracy,cosine_accuracy_threshold,cosine_f1,cosine_precision
 2.3365556420946536,51000,0.8599990325857371,0.8393311523082515,0.8196663116790912,0.8599627560521416,0.9170899817640746,0.7120500010109944
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 2.4281852751179733,53000,0.8602086390093678,0.8428491790897157,0.8148753433707709,0.8728119180633147,0.9175858122309677,0.7168065568177265
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eval/binary_classification_evaluation_val_results.csv

@@ -222,3 +222,4 @@ epoch,steps,cosine_accuracy,cosine_accuracy_threshold,cosine_f1,cosine_precision
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 11.850222955225703,194000,0.7527662105889351,0.6803355079217148,0.5906148867313916,0.8021978021978022,0.7437489749999012,0.44934635040370324
+11.911306578706249,195000,0.7528851873884592,0.6810160427807487,0.5930151338766007,0.7996860282574568,0.7437180816453722,0.45109955704241617

initial_metrics.json

@@ -1,12 +1,4 @@
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-    "val_cosine_accuracy_threshold": 0.8640533685684204,
-    "val_cosine_f1": 0.6912742186395134,
-    "val_cosine_f1_threshold": 0.825770378112793,
-    "val_cosine_precision": 0.6289243437982501,
-    "val_cosine_recall": 0.7673469387755102,
-    "val_cosine_ap": 0.7353968345121902,
-    "val_cosine_mcc": 0.4778469995044085,
     "test_cosine_accuracy": 0.7037777526966672,
     "test_cosine_accuracy_threshold": 0.8524033427238464,
     "test_cosine_f1": 0.7122170715871171,

model.safetensors

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training_args.bin

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