ashhadahsan
/

amazon-subtheme-bert-base-finetuned

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

ashhadahsan commited on Oct 2, 2023

Commit

3b73dfa

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1 Parent(s): f4a2d82

Training in progress epoch 0

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README.md +3 -3
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -14,9 +14,9 @@ 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: 0.0128
 - Train Accuracy: 1.0
-- Validation Loss: 1.7013
 - Validation Accuracy: 0.6795
 - Epoch: 0
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.0128     | 1.0            | 1.7013          | 0.6795              | 0     |
 ### 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: 0.0101
 - Train Accuracy: 1.0
+- Validation Loss: 1.7452
 - Validation Accuracy: 0.6795
 - Epoch: 0
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.0101     | 1.0            | 1.7452          | 0.6795              | 0     |
 ### Framework versions

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