Lo logramos de nuevo equipo Platzi! 🤗

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: distilroberta-base
 tags:
+- text-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # platzi-distilroberta-base-mrpc-glue-juansebas7ian
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the datasetX dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7710
-- Accuracy: 0.8284
-- F1: 0.8713
+- Loss: 0.7613
+- Accuracy: 0.7892
+- F1: 0.8377
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.7892156862745098,
+    "eval_f1": 0.8377358490566038,
+    "eval_loss": 0.7612542510032654,
+    "eval_runtime": 6.9969,
+    "eval_samples_per_second": 58.311,
+    "eval_steps_per_second": 7.289,
+    "train_loss": 0.3030987076769727,
+    "train_runtime": 829.4326,
+    "train_samples_per_second": 13.267,
+    "train_steps_per_second": 1.66
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.7892156862745098,
+    "eval_f1": 0.8377358490566038,
+    "eval_loss": 0.7612542510032654,
+    "eval_runtime": 6.9969,
+    "eval_samples_per_second": 58.311,
+    "eval_steps_per_second": 7.289
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.3030987076769727,
+    "train_runtime": 829.4326,
+    "train_samples_per_second": 13.267,
+    "train_steps_per_second": 1.66
+}