Modelo de NLP Version 1.0.0

README.md

@@ -2,6 +2,7 @@
 license: mit
 base_model: roberta-base
 tags:
+- text-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base-mrpc-glue
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue and the mrpc datasets.
 It achieves the following results on the evaluation set:
-- Loss: 0.4265
-- Accuracy: 0.8505
-- F1: 0.8856
+- Loss: 0.3949
+- Accuracy: 0.8529
+- F1: 0.8966
 
 ## Model description
 

all_results.json

@@ -1,9 +1,9 @@
 {
-    "epoch": 2.0,
-    "eval_accuracy": 0.8137254901960784,
-    "eval_f1": 0.8661971830985915,
-    "eval_loss": 0.4704395830631256,
-    "eval_runtime": 3.3113,
-    "eval_samples_per_second": 123.215,
-    "eval_steps_per_second": 15.402
+    "epoch": 3.0,
+    "eval_accuracy": 0.8529411764705882,
+    "eval_f1": 0.896551724137931,
+    "eval_loss": 0.3948657810688019,
+    "eval_runtime": 4.8329,
+    "eval_samples_per_second": 84.421,
+    "eval_steps_per_second": 10.553
 }

eval_results.json

@@ -1,9 +1,9 @@
 {
-    "epoch": 2.0,
-    "eval_accuracy": 0.8137254901960784,
-    "eval_f1": 0.8661971830985915,
-    "eval_loss": 0.4704395830631256,
-    "eval_runtime": 3.3113,
-    "eval_samples_per_second": 123.215,
-    "eval_steps_per_second": 15.402
+    "epoch": 3.0,
+    "eval_accuracy": 0.8529411764705882,
+    "eval_f1": 0.896551724137931,
+    "eval_loss": 0.3948657810688019,
+    "eval_runtime": 4.8329,
+    "eval_samples_per_second": 84.421,
+    "eval_steps_per_second": 10.553
 }