felixshier
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asc-01-bert-finetuned

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

felixshier commited on Aug 9, 2023

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Upload TFBertForSequenceClassification

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README.md +8 -7
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,10 +15,10 @@ 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: 0.6564
-- Validation Loss: 0.6941
-- Train Precision: 0.3333
-- Epoch: 2
 ## Model description
@@ -44,9 +44,10 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Epoch |
 |:----------:|:---------------:|:---------------:|:-----:|
-| 0.7024     | 0.6867          | 0.55            | 0     |
-| 0.6780     | 0.6944          | 0.5             | 1     |
-| 0.6564     | 0.6941          | 0.3333          | 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: 0.6295
+- Validation Loss: 0.7210
+- Train Precision: 0.38
+- Epoch: 3
 ## Model description
 | Train Loss | Validation Loss | Train Precision | Epoch |
 |:----------:|:---------------:|:---------------:|:-----:|
+| 0.7161     | 0.7021          | 0.4118          | 0     |
+| 0.6906     | 0.7071          | 0.4730          | 1     |
+| 0.6443     | 0.7257          | 0.3333          | 2     |
+| 0.6295     | 0.7210          | 0.38            | 3     |
 ### Framework versions

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