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bertweet-base-SNS_BRANDS_200k

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haji2438 commited on Jan 16, 2022

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update model card README.md

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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0235
 ## Model description
@@ -32,7 +32,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -44,9 +44,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 0.0394        | 1.0   | 5882  | 0.0306          |
-| 0.0282        | 2.0   | 11764 | 0.0240          |
-| 0.0241        | 3.0   | 17646 | 0.0235          |
 ### Framework versions

 This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0267
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
+| 0.0551        | 1.0   | 5882  | 0.0443          |
+| 0.0348        | 2.0   | 11764 | 0.0295          |
+| 0.0311        | 3.0   | 17646 | 0.0267          |
 ### Framework versions