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-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3163
-- Accuracy: 0.511
+- Loss: 1.3620
+- Accuracy: 0.5143
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6913        | 1.0   | 1125 | 1.6306          | 0.482    |
-| 0.4744        | 2.0   | 2250 | 1.8597          | 0.517    |
-| 0.3089        | 3.0   | 3375 | 2.3163          | 0.511    |
+| 1.2496        | 1.0   | 1125 | 1.2030          | 0.4957   |
+| 1.0395        | 2.0   | 2250 | 1.2141          | 0.5157   |
+| 0.7355        | 3.0   | 3375 | 1.3620          | 0.5143   |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
-- Pytorch 2.1.0+cu118
+- Pytorch 2.1.0+cu121
 - Datasets 2.15.0
 - Tokenizers 0.15.0

model.safetensors

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training_args.bin

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