End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.3068
-- Accuracy: 0.8264
+- Loss: 0.3648
+- Accuracy: 0.7678
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 4e-05
+- learning_rate: 3e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3602        | 1.0   | 818  | 0.2960          | 0.8076   |
-| 0.2422        | 2.0   | 1636 | 0.2973          | 0.8173   |
-| 0.2071        | 3.0   | 2454 | 0.3068          | 0.8264   |
+| 0.3692        | 1.0   | 1101 | 0.3427          | 0.7579   |
+| 0.3152        | 2.0   | 2202 | 0.3571          | 0.7594   |
+| 0.2766        | 3.0   | 3303 | 0.3648          | 0.7678   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a9d44e25585db782f4dd883df9bec30182ca576d91b4004e7254b6d4650425c3
 size 435725300