Logrado

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: distilroberta-base
 tags:
+- text-classification
 - generated_from_trainer
 datasets:
 - glue
@@ -23,10 +24,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.821078431372549
+      value: 0.7794117647058824
     - name: F1
       type: f1
-      value: 0.8764805414551609
+      value: 0.8529411764705881
 ---
 
 <!-- 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. -->
 
 # platzi-distilroberta-base-mrpc-glue-Carlos-Moreno
 
-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 glue and the mrpc datasets.
 It achieves the following results on the evaluation set:
-- Loss: 0.8226
-- Accuracy: 0.8211
-- F1: 0.8765
+- Loss: 0.6319
+- Accuracy: 0.7794
+- F1: 0.8529
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.7794117647058824,
+    "eval_f1": 0.8529411764705881,
+    "eval_loss": 0.6318923830986023,
+    "eval_runtime": 56.4174,
+    "eval_samples_per_second": 7.232,
+    "eval_steps_per_second": 0.904,
+    "total_flos": 205782929304336.0,
+    "train_loss": 0.4173936532213797,
+    "train_runtime": 4924.3906,
+    "train_samples_per_second": 2.235,
+    "train_steps_per_second": 0.28
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.7794117647058824,
+    "eval_f1": 0.8529411764705881,
+    "eval_loss": 0.6318923830986023,
+    "eval_runtime": 56.4174,
+    "eval_samples_per_second": 7.232,
+    "eval_steps_per_second": 0.904
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 205782929304336.0,
+    "train_loss": 0.4173936532213797,
+    "train_runtime": 4924.3906,
+    "train_samples_per_second": 2.235,
+    "train_steps_per_second": 0.28
+}