Upload TFDistilBertForSequenceClassification

README.md

@@ -3,29 +3,20 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: AnaniyaX/decision-distilbert-uncased
+- name: decision-distilbert-uncased
   results: []
-datasets:
-- textvqa
-- squad
-language:
-- en
-metrics:
-- accuracy
-library_name: keras
-pipeline_tag: text-classification
 ---
 
 <!-- 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. -->
 
-# AnaniyaX/decision-distilbert-uncased
+# decision-distilbert-uncased
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0130
-- Train Accuracy: 0.9990
-- Epoch: 8
+- Train Loss: 0.0102
+- Train Accuracy: 0.9995
+- Epoch: 9
 
 ## Model description
 
@@ -60,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.0228     | 0.9970         | 6     |
 | 0.0185     | 0.9965         | 7     |
 | 0.0130     | 0.9990         | 8     |
+| 0.0102     | 0.9995         | 9     |
 
 
 ### Framework versions
@@ -67,4 +59,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.2
 - TensorFlow 2.11.0
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:52a2612cb1c16dbc0ce2aa0e8e426c3c8a69aee321e9d726c2571785b73de803
+oid sha256:ad03d5d7bc1f0c08558afd48fc37ca2466c38301b432a74ada025eac4c2c15e0
 size 267955144