Pedrampd
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NLP-HW5-NerTaggerModel

Token Classification

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Model card Files Files and versions Metrics Training metrics Community

Pedrampd commited on Jul 21, 2023

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update model card README.md

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@@ -17,8 +17,8 @@ should 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1256
-- Accuracy: 0.9662
 ## Model description
@@ -43,15 +43,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6796        | 1.0   | 878  | 0.1898          | 0.9499   |
-| 0.1948        | 2.0   | 1756 | 0.1421          | 0.9616   |
-| 0.1553        | 3.0   | 2634 | 0.1256          | 0.9662   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0218
+- Accuracy: 0.9947
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 2
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1891        | 1.0   | 878  | 0.0342          | 0.9909   |
+| 0.0377        | 2.0   | 1756 | 0.0218          | 0.9947   |
 ### Framework versions