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
 datasets:
 - glue
@@ -15,7 +16,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: datasetX
       type: glue
       config: mrpc
       split: validation
@@ -26,7 +27,7 @@ model-index:
       value: 0.8235294117647058
     - name: F1
       type: f1
-      value: 0.8709677419354839
+      value: 0.8714285714285714
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +35,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # iass-distilroberta-base-mrpc-glue-iassolutions
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue 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: 0.7459
+- Loss: 0.4363
 - Accuracy: 0.8235
-- F1: 0.8710
+- F1: 0.8714
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8235294117647058,
+    "eval_f1": 0.8714285714285714,
+    "eval_loss": 0.43631377816200256,
+    "eval_runtime": 2.3922,
+    "eval_samples_per_second": 170.558,
+    "eval_steps_per_second": 21.32,
+    "total_flos": 205303769885760.0,
+    "train_loss": 0.3952723151977805,
+    "train_runtime": 136.8875,
+    "train_samples_per_second": 80.387,
+    "train_steps_per_second": 10.059
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8235294117647058,
+    "eval_f1": 0.8714285714285714,
+    "eval_loss": 0.43631377816200256,
+    "eval_runtime": 2.3922,
+    "eval_samples_per_second": 170.558,
+    "eval_steps_per_second": 21.32
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 205303769885760.0,
+    "train_loss": 0.3952723151977805,
+    "train_runtime": 136.8875,
+    "train_samples_per_second": 80.387,
+    "train_steps_per_second": 10.059
+}