lo logramos

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8357843137254902,
+    "eval_f1": 0.8854700854700854,
+    "eval_loss": 0.5463916063308716,
+    "eval_runtime": 2.6332,
+    "eval_samples_per_second": 154.947,
+    "eval_steps_per_second": 19.368,
+    "total_flos": 206072701738896.0,
+    "train_loss": 0.3948546487867789,
+    "train_runtime": 151.2991,
+    "train_samples_per_second": 72.73,
+    "train_steps_per_second": 9.101
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8357843137254902,
+    "eval_f1": 0.8854700854700854,
+    "eval_loss": 0.5463916063308716,
+    "eval_runtime": 2.6332,
+    "eval_samples_per_second": 154.947,
+    "eval_steps_per_second": 19.368
+}

runs/Feb16_23-46-36_0ae68fc9deed/events.out.tfevents.1708127569.0ae68fc9deed.614.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21e4e248b8ac328ae5dbec4fd16acbbee6a4b20fda444d631347aacc4bd5fc9
+size 457

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 206072701738896.0,
+    "train_loss": 0.3948546487867789,
+    "train_runtime": 151.2991,
+    "train_samples_per_second": 72.73,
+    "train_steps_per_second": 9.101
+}