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: 0.3070
-- Accuracy: 0.8291
+- Loss: 0.3124
+- Accuracy: 0.8270
 
 ## Model description
 
@@ -38,9 +38,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3164        | 1.0   | 1636 | 0.2805          | 0.8207   |
-| 0.2494        | 2.0   | 3272 | 0.2964          | 0.8210   |
-| 0.2075        | 3.0   | 4908 | 0.3070          | 0.8291   |
+| 0.3667        | 1.0   | 818  | 0.2851          | 0.8162   |
+| 0.2499        | 2.0   | 1636 | 0.2931          | 0.8121   |
+| 0.2069        | 3.0   | 2454 | 0.3124          | 0.8270   |
 
 
 ### Framework versions

model.safetensors

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runs/Sep19_13-05-39_9be3241fd883/events.out.tfevents.1726751141.9be3241fd883.2060.19

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