gokuls commited on
Commit
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End of training

Browse files
README.md CHANGED
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  datasets:
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  name: Text Classification
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  type: text-classification
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  dataset:
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- name: glue
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  type: glue
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  config: mnli
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  split: validation_matched
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.3273560876209883
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  ---
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  <!-- 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. -->
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  # hBERTv1_new_pretrain_w_init__mnli
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- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0990
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- - Accuracy: 0.3274
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  ## Model description
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  ---
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+ language:
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+ - en
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  name: Text Classification
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  type: text-classification
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  dataset:
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+ name: GLUE MNLI
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  type: glue
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  config: mnli
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  split: validation_matched
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.318246541903987
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # hBERTv1_new_pretrain_w_init__mnli
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+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init) on the GLUE MNLI dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0963
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+ - Accuracy: 0.3182
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  ## Model description
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