google-play-sentiment-analysis

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0987
-- Accuracy: 0.3229
+- Loss: 0.7830
+- Accuracy: 0.6571
 
 ## Model description
 
@@ -43,22 +43,13 @@ 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: 10
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.8592        | 1.0   | 1200  | 0.8029          | 0.6279   |
-| 0.9076        | 2.0   | 2400  | 1.1314          | 0.3229   |
-| 1.1221        | 3.0   | 3600  | 1.1170          | 0.3229   |
-| 1.1211        | 4.0   | 4800  | 1.1020          | 0.3362   |
-| 1.115         | 5.0   | 6000  | 1.1015          | 0.3408   |
-| 1.12          | 6.0   | 7200  | 1.0989          | 0.3408   |
-| 1.1153        | 7.0   | 8400  | 1.0989          | 0.3408   |
-| 1.1123        | 8.0   | 9600  | 1.0993          | 0.3408   |
-| 1.1125        | 9.0   | 10800 | 1.0987          | 0.3408   |
-| 1.1109        | 10.0  | 12000 | 1.0987          | 0.3229   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8207        | 1.0   | 1200 | 0.7830          | 0.6571   |
 
 
 ### Framework versions