Modelo NLP que clasifica dos oraciones en 'equivalente' o 'no equivalente'

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: 0.8504901960784313
+      value: 0.8137254901960784
     - name: F1
       type: f1
-      value: 0.8904847396768403
+      value: 0.8729096989966555
 ---
 
 <!-- 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-joselier
 
-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: 0.5126
-- Accuracy: 0.8505
-- F1: 0.8905
+- Loss: 0.4328
+- Accuracy: 0.8137
+- F1: 0.8729
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8137254901960784,
+    "eval_f1": 0.8729096989966555,
+    "eval_loss": 0.43276065587997437,
+    "eval_runtime": 1.6978,
+    "eval_samples_per_second": 240.31,
+    "eval_steps_per_second": 30.039,
+    "total_flos": 205303769885760.0,
+    "train_loss": 0.40716327786359047,
+    "train_runtime": 130.2399,
+    "train_samples_per_second": 84.49,
+    "train_steps_per_second": 10.573
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8137254901960784,
+    "eval_f1": 0.8729096989966555,
+    "eval_loss": 0.43276065587997437,
+    "eval_runtime": 1.6978,
+    "eval_samples_per_second": 240.31,
+    "eval_steps_per_second": 30.039
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 205303769885760.0,
+    "train_loss": 0.40716327786359047,
+    "train_runtime": 130.2399,
+    "train_samples_per_second": 84.49,
+    "train_steps_per_second": 10.573
+}