End of training

README.md

@@ -1,13 +1,30 @@
 ---
+language:
+- en
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
 - glue
+metrics:
+- accuracy
 model-index:
 - name: out-glue-mnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE MNLI
+      type: glue
+      config: mnli
+      split: validation_matched
+      args: mnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8418429617575265
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # out-glue-mnli
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MNLI dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0659
+- Accuracy: 0.8418
 
 ## Model description
 

all_results.json

@@ -0,0 +1,21 @@
+{
+    "epoch": 20.0,
+    "epoch_mm": 20.0,
+    "eval_accuracy": 0.8386143657666837,
+    "eval_accuracy_mm": 0.8418429617575265,
+    "eval_loss": 1.0797035694122314,
+    "eval_loss_mm": 1.0659372806549072,
+    "eval_runtime": 7.3576,
+    "eval_runtime_mm": 7.3181,
+    "eval_samples": 9815,
+    "eval_samples_mm": 9832,
+    "eval_samples_per_second": 1333.993,
+    "eval_samples_per_second_mm": 1343.512,
+    "eval_steps_per_second": 5.301,
+    "eval_steps_per_second_mm": 5.329,
+    "train_loss": 0.12400934287872191,
+    "train_runtime": 16044.2941,
+    "train_samples": 392702,
+    "train_samples_per_second": 489.522,
+    "train_steps_per_second": 2.55
+}

eval_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 20.0,
+    "epoch_mm": 20.0,
+    "eval_accuracy": 0.8386143657666837,
+    "eval_accuracy_mm": 0.8418429617575265,
+    "eval_loss": 1.0797035694122314,
+    "eval_loss_mm": 1.0659372806549072,
+    "eval_runtime": 7.3576,
+    "eval_runtime_mm": 7.3181,
+    "eval_samples": 9815,
+    "eval_samples_mm": 9832,
+    "eval_samples_per_second": 1333.993,
+    "eval_samples_per_second_mm": 1343.512,
+    "eval_steps_per_second": 5.301,
+    "eval_steps_per_second_mm": 5.329
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 20.0,
+    "train_loss": 0.12400934287872191,
+    "train_runtime": 16044.2941,
+    "train_samples": 392702,
+    "train_samples_per_second": 489.522,
+    "train_steps_per_second": 2.55
+}