YakovElm
/

Apache15Classic_Balance_DATA_ratio_4

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

YakovElm commited on May 31, 2023

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95f007a

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1 Parent(s): e015d10

Upload TFBertForSequenceClassification

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README.md +7 -7
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4061
-- Train Accuracy: 0.8184
-- Validation Loss: 0.4845
-- Validation Accuracy: 0.7877
 - Epoch: 2
 ## Model description
@@ -44,9 +44,9 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4872     | 0.8074         | 0.5012          | 0.7746              | 0     |
-| 0.4409     | 0.8118         | 0.4954          | 0.7746              | 1     |
-| 0.4061     | 0.8184         | 0.4845          | 0.7877              | 2     |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.3664
+- Train Accuracy: 0.8534
+- Validation Loss: 0.5348
+- Validation Accuracy: 0.7659
 - Epoch: 2
 ## Model description
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.4719     | 0.8111         | 0.4984          | 0.7856              | 0     |
+| 0.4410     | 0.8155         | 0.4861          | 0.7834              | 1     |
+| 0.3664     | 0.8534         | 0.5348          | 0.7659              | 2     |
 ### Framework versions

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