abilfad
/

sentiment-binary-dicoding

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

abilfad commited on Jun 7, 2023

Commit

92da36d

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1 Parent(s): d8e6e41

Training in progress epoch 2

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README.md +5 -4
tf_model.h5 +1 -1

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@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 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: 0.1354
-- Validation Loss: 0.2039
-- Train Accuracy: 0.9271
-- Epoch: 1
 ## Model description
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2536     | 0.1928          | 0.9249         | 0     |
 | 0.1354     | 0.2039          | 0.9271         | 1     |
 ### Framework versions

 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: 0.0606
+- Validation Loss: 0.2322
+- Train Accuracy: 0.9307
+- Epoch: 2
 ## Model description
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2536     | 0.1928          | 0.9249         | 0     |
 | 0.1354     | 0.2039          | 0.9271         | 1     |
+| 0.0606     | 0.2322          | 0.9307         | 2     |
 ### Framework versions

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