End of training

all_results.json

@@ -5,9 +5,9 @@
     "eval_loss": 0.4609430432319641,
     "eval_precision": 0.7894503286617733,
     "eval_recall": 0.7820860597039324,
-    "eval_runtime": 74.5465,
-    "eval_samples_per_second": 118.436,
-    "eval_steps_per_second": 7.405,
+    "eval_runtime": 74.476,
+    "eval_samples_per_second": 118.548,
+    "eval_steps_per_second": 7.412,
     "total_flos": 1.087396245164114e+19,
     "train_loss": 0.7537981033325195,
     "train_runtime": 2484.6922,

eval_results.json

@@ -5,7 +5,7 @@
     "eval_loss": 0.4609430432319641,
     "eval_precision": 0.7894503286617733,
     "eval_recall": 0.7820860597039324,
-    "eval_runtime": 74.5465,
-    "eval_samples_per_second": 118.436,
-    "eval_steps_per_second": 7.405
+    "eval_runtime": 74.476,
+    "eval_samples_per_second": 118.548,
+    "eval_steps_per_second": 7.412
 }

trainer_state.json

@@ -1662,6 +1662,18 @@
       "train_runtime": 2484.6922,
       "train_samples_per_second": 56.104,
       "train_steps_per_second": 0.877
+    },
+    {
+      "epoch": 10.0,
+      "eval_accuracy": 0.8239891267414203,
+      "eval_f1": 0.7852027158639473,
+      "eval_loss": 0.4609430432319641,
+      "eval_precision": 0.7894503286617733,
+      "eval_recall": 0.7820860597039324,
+      "eval_runtime": 74.5465,
+      "eval_samples_per_second": 118.436,
+      "eval_steps_per_second": 7.405,
+      "step": 2180
     }
   ],
   "logging_steps": 10,