Krishadow
/

biobert-finetuned-ner-K2

Token Classification

generated_from_keras_callback

Inference Endpoints

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Krishadow 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: 0.1365
-- Validation Loss: 0.0585
-- Epoch: 0
 ## Model description
@@ -43,6 +43,10 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 0.1365     | 0.0585          | 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: 0.0107
+- Validation Loss: 0.0671
+- Epoch: 4
 ## Model description
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 0.1365     | 0.0585          | 0     |
+| 0.0427     | 0.0549          | 1     |
+| 0.0243     | 0.0572          | 2     |
+| 0.0155     | 0.0639          | 3     |
+| 0.0107     | 0.0671          | 4     |
 ### Framework versions

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