We did it with Platzi!

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: distilroberta-base
 tags:
+- text-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # platzi-distilroberta-base-mrpc-glue-anthony-zakhaur
 
-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: 0.8661
-- Accuracy: 0.8333
-- F1: 0.8807
+- Loss: 0.7964
+- Accuracy: 0.8284
+- F1: 0.8763
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8284313725490197,
+    "eval_f1": 0.8763250883392226,
+    "eval_loss": 0.7963703870773315,
+    "eval_runtime": 2.0042,
+    "eval_samples_per_second": 203.571,
+    "eval_steps_per_second": 25.446,
+    "total_flos": 263808824423424.0,
+    "train_loss": 0.27078793095607384,
+    "train_runtime": 125.2841,
+    "train_samples_per_second": 87.832,
+    "train_steps_per_second": 10.991
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8284313725490197,
+    "eval_f1": 0.8763250883392226,
+    "eval_loss": 0.7963703870773315,
+    "eval_runtime": 2.0042,
+    "eval_samples_per_second": 203.571,
+    "eval_steps_per_second": 25.446
+}

runs/Feb15_16-33-57_e49554eba449/events.out.tfevents.1708015205.e49554eba449.358.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ae7e5607e157f19635494d7afe34b4f144fa4c38f813b830c35bd21ae207aa3
+size 457

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 263808824423424.0,
+    "train_loss": 0.27078793095607384,
+    "train_runtime": 125.2841,
+    "train_samples_per_second": 87.832,
+    "train_steps_per_second": 10.991
+}