Lo logramos de nuevo

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: distilroberta-base
 tags:
+- text-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # platzi-distilroberta-base-mrpc-glue-hector-nieto
 
-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 glue and the mrpc datasets.
 It achieves the following results on the evaluation set:
-- Loss: 0.6403
-- Accuracy: 0.8480
-- F1: 0.8912
+- Loss: 0.4723
+- Accuracy: 0.8407
+- F1: 0.8889
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8406862745098039,
+    "eval_f1": 0.8888888888888888,
+    "eval_loss": 0.47227761149406433,
+    "eval_runtime": 74.0639,
+    "eval_samples_per_second": 5.509,
+    "eval_steps_per_second": 0.689,
+    "total_flos": 205471423937184.0,
+    "train_loss": 0.3790849174549377,
+    "train_runtime": 6095.1633,
+    "train_samples_per_second": 1.805,
+    "train_steps_per_second": 0.226
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8406862745098039,
+    "eval_f1": 0.8888888888888888,
+    "eval_loss": 0.47227761149406433,
+    "eval_runtime": 74.0639,
+    "eval_samples_per_second": 5.509,
+    "eval_steps_per_second": 0.689
+}

runs/Feb04_21-06-50_ebbc4f60ca66/events.out.tfevents.1738710019.ebbc4f60ca66.191.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c43da7aa7eb3b1335de77846c1ceac813058435d5ece71444898a1b218fed723
+size 457

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 205471423937184.0,
+    "train_loss": 0.3790849174549377,
+    "train_runtime": 6095.1633,
+    "train_samples_per_second": 1.805,
+    "train_steps_per_second": 0.226
+}