Upload TFBertForSequenceClassification

README.md

@@ -4,22 +4,18 @@ base_model: bert-base-multilingual-cased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: Piyakrit/bert-finetuned-mrpc
+- name: bert-finetuned-mrpc
   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. -->
 
-# Piyakrit/bert-finetuned-mrpc
+# bert-finetuned-mrpc
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6356
-- Train Accuracy: 0.6742
-- Validation Loss: 0.6238
-- Validation Accuracy: 0.6838
-- Epoch: 0
+
 
 ## Model description
 
@@ -43,13 +39,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.6356     | 0.6742         | 0.6238          | 0.6838              | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.34.1
 - TensorFlow 2.13.0
+- Datasets 2.14.5
 - Tokenizers 0.14.1

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3f83628b5f39ec3137a73d618891f8bc156a90207b5109cc9c47dd9bad06fef3
 size 711707928