aslon1213
/

bert-finetuned-ner1

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aslon1213 commited on May 30

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README.md +9 -9

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@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0426
-- Precision: 0.5603
-- Recall: 0.4351
-- F1: 0.4898
-- Accuracy: 0.9892
 ## Model description
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0508        | 0.2   | 5000 | 0.0426          | 0.5603    | 0.4351 | 0.4898 | 0.9892   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0493
+- Precision: 0.5627
+- Recall: 0.3880
+- F1: 0.4593
+- Accuracy: 0.9888
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 ### Training results
+| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0677        | 0.0444 | 5000 | 0.0493          | 0.5627    | 0.3880 | 0.4593 | 0.9888   |
 ### Framework versions