stefaniftime
/

bert-finetuned-mrpc

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

stefaniftime commited on Aug 29, 2023

Commit

0673431

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1 Parent(s): a224606

Training in progress epoch 0

Files changed (2) hide show

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

README.md CHANGED Viewed

@@ -15,9 +15,9 @@ 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: 0.6890
-- Train Accuracy: 0.6257
-- Validation Loss: 0.6281
 - Validation Accuracy: 0.6838
 - Epoch: 0
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.6890     | 0.6257         | 0.6281          | 0.6838              | 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: 0.6825
+- Train Accuracy: 0.6281
+- Validation Loss: 0.6240
 - Validation Accuracy: 0.6838
 - Epoch: 0
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.6825     | 0.6281         | 0.6240          | 0.6838              | 0     |
 ### Framework versions

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