yfu2307
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bert-finetuned-ner

Token Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

yfu2307 commited on Apr 16, 2022

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End of training

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README.md +7 -3
tf_model.h5 +1 -1

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@@ -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: 0.2952
-- Validation Loss: 0.1560
-- Epoch: 0
 ## Model description
@@ -43,6 +43,10 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 0.2952     | 0.1560          | 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: 0.0462
+- Validation Loss: 0.1203
+- Epoch: 4
 ## Model description
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 0.2952     | 0.1560          | 0     |
+| 0.1331     | 0.1207          | 1     |
+| 0.0843     | 0.1138          | 2     |
+| 0.0577     | 0.1191          | 3     |
+| 0.0462     | 0.1203          | 4     |
 ### Framework versions

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