gustavokpc
/

bert-base-portuguese-cased_LRATE_1e-05_EPOCHS_5

Text Classification

generated_from_keras_callback

Inference Endpoints

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gustavokpc commited on Jan 28

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bf8d6c9

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1 Parent(s): 778ad7c

Training in progress epoch 4

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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: 0.0703
-- Train Accuracy: 0.9764
-- Train F1 M: 0.5599
-- Train Precision M: 0.4042
-- Train Recall M: 0.9720
-- Validation Loss: 0.1808
-- Validation Accuracy: 0.9426
-- Validation F1 M: 0.5670
-- Validation Precision M: 0.4068
-- Validation Recall M: 0.9794
-- Epoch: 3
 ## Model description
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.1325     | 0.9529         | 0.5557     | 0.4036            | 0.9509         | 0.1685          | 0.9367              | 0.5519          | 0.3998                 | 0.9380              | 1     |
 | 0.0929     | 0.9681         | 0.5582     | 0.4031            | 0.9644         | 0.1650          | 0.9426              | 0.5583          | 0.4027                 | 0.9554              | 2     |
 | 0.0703     | 0.9764         | 0.5599     | 0.4042            | 0.9720         | 0.1808          | 0.9426              | 0.5670          | 0.4068                 | 0.9794              | 3     |
 ### 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: 0.0570
+- Train Accuracy: 0.9806
+- Train F1 M: 0.5606
+- Train Precision M: 0.4043
+- Train Recall M: 0.9769
+- Validation Loss: 0.1851
+- Validation Accuracy: 0.9446
+- Validation F1 M: 0.5629
+- Validation Precision M: 0.4035
+- Validation Recall M: 0.9763
+- Epoch: 4
 ## Model description
 | 0.1325     | 0.9529         | 0.5557     | 0.4036            | 0.9509         | 0.1685          | 0.9367              | 0.5519          | 0.3998                 | 0.9380              | 1     |
 | 0.0929     | 0.9681         | 0.5582     | 0.4031            | 0.9644         | 0.1650          | 0.9426              | 0.5583          | 0.4027                 | 0.9554              | 2     |
 | 0.0703     | 0.9764         | 0.5599     | 0.4042            | 0.9720         | 0.1808          | 0.9426              | 0.5670          | 0.4068                 | 0.9794              | 3     |
+| 0.0570     | 0.9806         | 0.5606     | 0.4043            | 0.9769         | 0.1851          | 0.9446              | 0.5629          | 0.4035                 | 0.9763              | 4     |
 ### Framework versions

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