End of training

all_results.json

@@ -20,8 +20,8 @@
     "predict_steps_per_second": 4.098,
     "total_flos": 6.343227643160166e+17,
     "train_loss": 0.6829259282291525,
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+    "train_runtime": 2722.2879,
     "train_samples": 32305,
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-    "train_steps_per_second": 7.437
+    "train_samples_per_second": 237.337,
+    "train_steps_per_second": 7.42
 }

train_results.json

@@ -2,8 +2,8 @@
     "epoch": 4.0,
     "total_flos": 6.343227643160166e+17,
     "train_loss": 0.6829259282291525,
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     "train_samples": 32305,
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+    "train_samples_per_second": 237.337,
+    "train_steps_per_second": 7.42
 }

trainer_state.json

@@ -1,5 +1,5 @@
 {
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@@ -24,14 +24,15 @@
     },
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     {
@@ -50,13 +51,14 @@
     },
     {
       "epoch": 2.0,
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@@ -76,14 +78,15 @@
     },
     {
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       "eval_loss": 0.751548707485199,
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+      "eval_precision": 0.5015384615384615,
+      "eval_recall": 0.9839034205231388,
+      "eval_runtime": 8.2689,
+      "eval_samples_per_second": 120.21,
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       "step": 3030
     },
     {
@@ -102,14 +105,15 @@
     },
     {
       "epoch": 4.0,
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       "eval_loss": 0.7038925290107727,
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+      "eval_recall": 0.9959758551307847,
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       "step": 4040
     },
     {
@@ -117,9 +121,9 @@
       "step": 4040,
       "total_flos": 6.343227643160166e+17,
       "train_loss": 0.6829259282291525,
-      "train_runtime": 2716.1998,
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   ],
   "logging_steps": 500,