gustavokpc
/

bert-base-portuguese-cased_LRATE_2e-05_EPOCHS_5

Text Classification

generated_from_keras_callback

Inference Endpoints

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gustavokpc commited on Jan 28

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ab7de81

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1 Parent(s): ddd4138

Training in progress epoch 2

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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: 0.1186
-- Train Accuracy: 0.9551
-- Train F1 M: 0.5516
-- Train Precision M: 0.4007
-- Train Recall M: 0.9397
-- Validation Loss: 0.1621
-- Validation Accuracy: 0.9347
-- Validation F1 M: 0.5628
-- Validation Precision M: 0.4068
-- Validation Recall M: 0.9580
-- Epoch: 1
 ## Model description
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
 | 0.2270     | 0.9119         | 0.5181     | 0.3865            | 0.8561         | 0.1618          | 0.9367              | 0.5592          | 0.4050                 | 0.9478              | 0     |
 | 0.1186     | 0.9551         | 0.5516     | 0.4007            | 0.9397         | 0.1621          | 0.9347              | 0.5628          | 0.4068                 | 0.9580              | 1     |
 ### 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: 0.0733
+- Train Accuracy: 0.9750
+- Train F1 M: 0.5536
+- Train Precision M: 0.4010
+- Train Recall M: 0.9577
+- Validation Loss: 0.1758
+- Validation Accuracy: 0.9426
+- Validation F1 M: 0.5568
+- Validation Precision M: 0.4015
+- Validation Recall M: 0.9529
+- Epoch: 2
 ## Model description
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
 | 0.2270     | 0.9119         | 0.5181     | 0.3865            | 0.8561         | 0.1618          | 0.9367              | 0.5592          | 0.4050                 | 0.9478              | 0     |
 | 0.1186     | 0.9551         | 0.5516     | 0.4007            | 0.9397         | 0.1621          | 0.9347              | 0.5628          | 0.4068                 | 0.9580              | 1     |
+| 0.0733     | 0.9750         | 0.5536     | 0.4010            | 0.9577         | 0.1758          | 0.9426              | 0.5568          | 0.4015                 | 0.9529              | 2     |
 ### Framework versions

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