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da-sentiment

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mirfan899 commited on Jan 29, 2023

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2800
-- Accuracy: 0.9448
 ## Model description
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 46   | 0.2349          | 0.9254   |
-| No log        | 2.0   | 92   | 0.1949          | 0.9309   |
-| No log        | 3.0   | 138  | 0.2021          | 0.9227   |
-| No log        | 4.0   | 184  | 0.2866          | 0.9365   |
-| No log        | 5.0   | 230  | 0.2458          | 0.9392   |
-| No log        | 6.0   | 276  | 0.2672          | 0.9503   |
-| No log        | 7.0   | 322  | 0.2873          | 0.9448   |
-| No log        | 8.0   | 368  | 0.2743          | 0.9420   |
-| No log        | 9.0   | 414  | 0.2782          | 0.9420   |
-| No log        | 10.0  | 460  | 0.2800          | 0.9448   |
 ### Framework versions

 This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2554
+- Accuracy: 0.9392
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 3e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 46   | 0.2599          | 0.9171   |
+| No log        | 2.0   | 92   | 0.2205          | 0.9254   |
+| No log        | 3.0   | 138  | 0.2175          | 0.9309   |
+| No log        | 4.0   | 184  | 0.2114          | 0.9309   |
+| No log        | 5.0   | 230  | 0.2509          | 0.9337   |
+| No log        | 6.0   | 276  | 0.2510          | 0.9309   |
+| No log        | 7.0   | 322  | 0.2412          | 0.9392   |
+| No log        | 8.0   | 368  | 0.2540          | 0.9392   |
+| No log        | 9.0   | 414  | 0.2535          | 0.9392   |
+| No log        | 10.0  | 460  | 0.2554          | 0.9392   |
 ### Framework versions