End of training

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: apache-2.0
 tags:
 - generated_from_trainer
@@ -13,7 +15,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE QNLI
       type: glue
       config: qnli
       split: validation
@@ -21,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6306058941973275
+      value: 0.6218195130880468
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sa_BERT_24_qnli
 
-This model is a fine-tuned version of [gokuls/bert_base_24](https://huggingface.co/gokuls/bert_base_24) on the glue dataset.
+This model is a fine-tuned version of [gokuls/bert_base_24](https://huggingface.co/gokuls/bert_base_24) on the GLUE QNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9162
-- Accuracy: 0.6306
+- Loss: 0.6492
+- Accuracy: 0.6218
 
 ## Model description
 

all_results.json

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+    "train_samples": 104743,
+    "train_samples_per_second": 1087.351,
+    "train_steps_per_second": 11.336
+}

eval_results.json

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+{
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+}

logs/events.out.tfevents.1686868747.serv-3317.1921073.5

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+oid sha256:fa3faa3277d78375cbf7b4f587d85ee898eb7e28671c8e773e491f0e970b9e45
+size 363

train_results.json

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+    "train_samples": 104743,
+    "train_samples_per_second": 1087.351,
+    "train_steps_per_second": 11.336
+}

trainer_state.json

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+  "best_model_checkpoint": "sa_BERT_24_qnli/checkpoint-2184",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}