End of training

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 tags:
 - generated_from_trainer
 datasets:
@@ -12,7 +14,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE QNLI
       type: glue
       config: qnli
       split: validation
@@ -20,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5302947098663738
+      value: 0.5262676185246201
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # add_BERT_48_qnli
 
-This model is a fine-tuned version of [gokuls/add_bert_12_layer_model_complete_training_new_48](https://huggingface.co/gokuls/add_bert_12_layer_model_complete_training_new_48) on the glue dataset.
+This model is a fine-tuned version of [gokuls/add_bert_12_layer_model_complete_training_new_48](https://huggingface.co/gokuls/add_bert_12_layer_model_complete_training_new_48) on the GLUE QNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6904
-- Accuracy: 0.5303
+- Loss: 0.6899
+- Accuracy: 0.5263
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+}

logs/events.out.tfevents.1686869318.serv-3317.1890717.5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:af76458d26926229f5df75297ef852844e2d7cf2227d610a6e5129c5e5d4d165
+size 363

train_results.json

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+    "train_samples_per_second": 1005.373,
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+}

trainer_state.json

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+  "best_model_checkpoint": "add_BERT_48_qnli/checkpoint-2457",
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+  "is_world_process_zero": true,
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+}