gustavokpc
/

bert-base-portuguese-cased_LRATE_5e-06_EPOCHS_6

Text Classification

generated_from_keras_callback

Inference Endpoints

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gustavokpc commited on Jan 28

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c16b5f8

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1 Parent(s): 657c58d

Training in progress epoch 3

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README.md +12 -11
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,17 +15,17 @@ 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:
-- Train Loss: 0.1185
-- Train Accuracy: 0.9587
-- Train F1 M: 0.5529
-- Train Precision M: 0.4020
-- Train Recall M: 0.9480
-- Validation Loss: 0.1714
-- Validation Accuracy: 0.9367
-- Validation F1 M: 0.5588
-- Validation Precision M: 0.4030
-- Validation Recall M: 0.9555
-- Epoch: 2
 ## Model description
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.2887     | 0.8821         | 0.4544     | 0.3418            | 0.7393         | 0.1871          | 0.9321              | 0.5574          | 0.4039                 | 0.9455              | 0     |
 | 0.1571     | 0.9439         | 0.5463     | 0.3992            | 0.9299         | 0.1740          | 0.9321              | 0.5596          | 0.4040                 | 0.9542              | 1     |
 | 0.1185     | 0.9587         | 0.5529     | 0.4020            | 0.9480         | 0.1714          | 0.9367              | 0.5588          | 0.4030                 | 0.9555              | 2     |
 ### Framework versions

 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:
+- Train Loss: 0.0950
+- Train Accuracy: 0.9662
+- Train F1 M: 0.5572
+- Train Precision M: 0.4033
+- Train Recall M: 0.9621
+- Validation Loss: 0.1775
+- Validation Accuracy: 0.9373
+- Validation F1 M: 0.5604
+- Validation Precision M: 0.4033
+- Validation Recall M: 0.9607
+- Epoch: 3
 ## Model description
 | 0.2887     | 0.8821         | 0.4544     | 0.3418            | 0.7393         | 0.1871          | 0.9321              | 0.5574          | 0.4039                 | 0.9455              | 0     |
 | 0.1571     | 0.9439         | 0.5463     | 0.3992            | 0.9299         | 0.1740          | 0.9321              | 0.5596          | 0.4040                 | 0.9542              | 1     |
 | 0.1185     | 0.9587         | 0.5529     | 0.4020            | 0.9480         | 0.1714          | 0.9367              | 0.5588          | 0.4030                 | 0.9555              | 2     |
+| 0.0950     | 0.9662         | 0.5572     | 0.4033            | 0.9621         | 0.1775          | 0.9373              | 0.5604          | 0.4033                 | 0.9607              | 3     |
 ### Framework versions

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