End of training

README.md

@@ -1,11 +1,26 @@
 ---
+language:
+- en
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: hBERTv1_data_aug_wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.323943661971831
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv1_data_aug_wnli
 
-This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on an unknown dataset.
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.7444
-- Accuracy: 0.0986
+- Loss: 0.8232
+- Accuracy: 0.3239
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
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+    "train_runtime": 1346.1035,
+    "train_samples": 55640,
+    "train_samples_per_second": 2066.706,
+    "train_steps_per_second": 8.097
+}

eval_results.json

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+{
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+    "eval_runtime": 0.1291,
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+}

logs/events.out.tfevents.1678044013.serv-9223.249238.23

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2a736af77a32325ef137bfa97017a275e3b538cff0c525230bbffdfcbfb6a09f
+size 363

train_results.json

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+    "train_runtime": 1346.1035,
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+    "train_samples_per_second": 2066.706,
+    "train_steps_per_second": 8.097
+}

trainer_state.json

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+{
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+  "best_model_checkpoint": "hBERTv1_data_aug_wnli/checkpoint-218",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}