Upload TFBertForSequenceClassification

README.md

@@ -4,22 +4,18 @@ base_model: bert-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: hyadav22/my-first-model-bert-base-uncased-attempt2
+- name: my-first-model-bert-base-uncased-attempt2
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# hyadav22/my-first-model-bert-base-uncased-attempt2
+# my-first-model-bert-base-uncased-attempt2
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0886
-- Train Accuracy: 0.9673
-- Validation Loss: 0.4091
-- Validation Accuracy: 0.875
-- Epoch: 2
+
 
 ## Model description
 
@@ -43,11 +39,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.5592     | 0.7268         | 0.3760          | 0.8554              | 0     |
-| 0.2979     | 0.8754         | 0.3127          | 0.8578              | 1     |
-| 0.0886     | 0.9673         | 0.4091          | 0.875               | 2     |
 
 
 ### Framework versions