Primer prueba con un data set no tan grande! 🤗

all_results.json

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+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9838963079340142,
+    "eval_loss": 0.08067605644464493,
+    "eval_runtime": 464.1019,
+    "eval_samples_per_second": 5.486,
+    "eval_steps_per_second": 0.687,
+    "total_flos": 3.685473293016711e+18,
+    "train_loss": 0.13355636139724106,
+    "train_runtime": 31916.2563,
+    "train_samples_per_second": 1.49,
+    "train_steps_per_second": 0.186
+}

eval_results.json

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+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9838963079340142,
+    "eval_loss": 0.08067605644464493,
+    "eval_runtime": 464.1019,
+    "eval_samples_per_second": 5.486,
+    "eval_steps_per_second": 0.687
+}

runs/Jul07_10-49-54_MacBook-Air-de-Laura.local/events.out.tfevents.1688775927.MacBook-Air-de-Laura.local.43654.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:79129a2741559c1850a3d751b5bf86e3e25ef8de16c7a5f40a45d9cd9fbb477b
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.685473293016711e+18,
+    "train_loss": 0.13355636139724106,
+    "train_runtime": 31916.2563,
+    "train_samples_per_second": 1.49,
+    "train_steps_per_second": 0.186
+}