Lo logramos!

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.7843137254901961,
+    "eval_f1": 0.8287937743190662,
+    "eval_loss": 0.532021164894104,
+    "eval_runtime": 3.0131,
+    "eval_samples_per_second": 135.408,
+    "eval_steps_per_second": 16.926,
+    "total_flos": 206072701738896.0,
+    "train_loss": 0.39911062092389765,
+    "train_runtime": 136.3499,
+    "train_samples_per_second": 80.704,
+    "train_steps_per_second": 10.099
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.7843137254901961,
+    "eval_f1": 0.8287937743190662,
+    "eval_loss": 0.532021164894104,
+    "eval_runtime": 3.0131,
+    "eval_samples_per_second": 135.408,
+    "eval_steps_per_second": 16.926
+}

runs/Jan04_08-47-22_64744c64a234/events.out.tfevents.1672823957.64744c64a234.1304.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d43d788b5333519d920a7944a54869984cdf16759a4de4fd930892253648c52d
+size 409

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 206072701738896.0,
+    "train_loss": 0.39911062092389765,
+    "train_runtime": 136.3499,
+    "train_samples_per_second": 80.704,
+    "train_steps_per_second": 10.099
+}