Modelo para clasificació de texto (similitud)

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. -->
 
 # destilroberta-base-mrpc-glue-ces
 
-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 guel and the mrpc datasets.
 It achieves the following results on the evaluation set:
-- Loss: 0.6894
+- Loss: 0.4664
 - Accuracy: 0.8162
-- F1: 0.8629
+- F1: 0.8718
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8161764705882353,
+    "eval_f1": 0.8717948717948718,
+    "eval_loss": 0.4664306342601776,
+    "eval_runtime": 1.768,
+    "eval_samples_per_second": 230.774,
+    "eval_steps_per_second": 28.847,
+    "total_flos": 205828464972624.0,
+    "train_loss": 0.4070402988940802,
+    "train_runtime": 132.5753,
+    "train_samples_per_second": 83.002,
+    "train_steps_per_second": 10.387
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8161764705882353,
+    "eval_f1": 0.8717948717948718,
+    "eval_loss": 0.4664306342601776,
+    "eval_runtime": 1.768,
+    "eval_samples_per_second": 230.774,
+    "eval_steps_per_second": 28.847
+}

runs/Jan09_22-47-53_88f77cd58170/events.out.tfevents.1704840694.88f77cd58170.1089.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96dbd6b199746c40a2520f33fca2af7b238a353158747ea93784a69d7155ea15
+size 457

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 205828464972624.0,
+    "train_loss": 0.4070402988940802,
+    "train_runtime": 132.5753,
+    "train_samples_per_second": 83.002,
+    "train_steps_per_second": 10.387
+}