Training in progress epoch 0

README.md

@@ -3,22 +3,22 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: Humyun/twitter-disaster-nlp
+- name: hkayesh/twitter-disaster-nlp
   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. -->
 
-# Humyun/twitter-disaster-nlp
+# hkayesh/twitter-disaster-nlp
 
 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: 0.2505
-- Train Accuracy: 0.9065
-- Validation Loss: 0.3790
-- Validation Accuracy: 0.8478
-- Epoch: 2
+- Train Loss: 0.4381
+- Train Accuracy: 0.8144
+- Validation Loss: 0.3739
+- Validation Accuracy: 0.8465
+- Epoch: 0
 
 ## Model description
 
@@ -44,9 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4339     | 0.8091         | 0.3487          | 0.8609              | 0     |
-| 0.3205     | 0.8789         | 0.3599          | 0.8465              | 1     |
-| 0.2505     | 0.9065         | 0.3790          | 0.8478              | 2     |
+| 0.4381     | 0.8144         | 0.3739          | 0.8465              | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 267956392
+oid sha256:f6f42eeb32079e141979d824e818fbc0c01ca8bf66e18462c163207465afe90c
+size 267951896