gustavokpc
/

bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_7

Text Classification

generated_from_keras_callback

Inference Endpoints

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gustavokpc commited on Jan 29

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17903b4

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1 Parent(s): c19ada2

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: 0.0890
-- Train Accuracy: 0.9685
-- Train F1 M: 0.5595
-- Train Precision M: 0.4035
-- Train Recall M: 0.9677
-- Validation Loss: 0.1719
-- Validation Accuracy: 0.9446
-- Validation F1 M: 0.5691
-- Validation Precision M: 0.4082
-- Validation Recall M: 0.9825
-- Epoch: 2
 ## Model description
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.2473     | 0.9048         | 0.5004     | 0.3720            | 0.8254         | 0.1669          | 0.9340              | 0.5489          | 0.3976                 | 0.9281              | 0     |
 | 0.1350     | 0.9505         | 0.5530     | 0.4016            | 0.9485         | 0.1610          | 0.9420              | 0.5661          | 0.4073                 | 0.9706              | 1     |
 | 0.0890     | 0.9685         | 0.5595     | 0.4035            | 0.9677         | 0.1719          | 0.9446              | 0.5691          | 0.4082                 | 0.9825              | 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: 0.0650
+- Train Accuracy: 0.9758
+- Train F1 M: 0.5601
+- Train Precision M: 0.4039
+- Train Recall M: 0.9754
+- Validation Loss: 0.1751
+- Validation Accuracy: 0.9466
+- Validation F1 M: 0.5620
+- Validation Precision M: 0.4036
+- Validation Recall M: 0.9696
+- Epoch: 3
 ## Model description
 | 0.2473     | 0.9048         | 0.5004     | 0.3720            | 0.8254         | 0.1669          | 0.9340              | 0.5489          | 0.3976                 | 0.9281              | 0     |
 | 0.1350     | 0.9505         | 0.5530     | 0.4016            | 0.9485         | 0.1610          | 0.9420              | 0.5661          | 0.4073                 | 0.9706              | 1     |
 | 0.0890     | 0.9685         | 0.5595     | 0.4035            | 0.9677         | 0.1719          | 0.9446              | 0.5691          | 0.4082                 | 0.9825              | 2     |
+| 0.0650     | 0.9758         | 0.5601     | 0.4039            | 0.9754         | 0.1751          | 0.9466              | 0.5620          | 0.4036                 | 0.9696              | 3     |
 ### Framework versions

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