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: 1.3877
-- Accuracy: 0.456
+- Loss: 1.3690
+- Accuracy: 0.443
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 1.3096          | 0.42     |
-| No log        | 2.0   | 250  | 1.3309          | 0.435    |
-| No log        | 3.0   | 375  | 1.3877          | 0.456    |
+| No log        | 1.0   | 125  | 1.2808          | 0.454    |
+| No log        | 2.0   | 250  | 1.2878          | 0.44     |
+| No log        | 3.0   | 375  | 1.3690          | 0.443    |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
 - Tokenizers 0.15.0

model.safetensors

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runs/Jan12_09-05-14_2e77dc0b0618/events.out.tfevents.1705050315.2e77dc0b0618.4028.0

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training_args.bin

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