Training in progress epoch 0

README.md

@@ -4,18 +4,22 @@ base_model: bert-base-multilingual-cased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: bert-finetuned-mrpc
+- name: Piyakrit/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. -->
 
-# bert-finetuned-mrpc
+# Piyakrit/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
 
@@ -39,6 +43,9 @@ 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