gustavokpc
/

bert-base-portuguese-cased_LRATE_8e-06_EPOCHS_6

Text Classification

generated_from_keras_callback

Inference Endpoints

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gustavokpc commited on Jan 28

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d6d3e06

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1 Parent(s): c7de8bf

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: 0.1011
-- Train Accuracy: 0.9626
-- Train F1 M: 0.5514
-- Train Precision M: 0.4011
-- Train Recall M: 0.9448
-- Validation Loss: 0.1802
-- Validation Accuracy: 0.9400
-- Validation F1 M: 0.5506
-- Validation Precision M: 0.3983
-- Validation Recall M: 0.9366
-- Epoch: 2
 ## Model description
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.2551     | 0.8979         | 0.4816     | 0.3610            | 0.7830         | 0.1728          | 0.9321              | 0.5389          | 0.3930                 | 0.9010              | 0     |
 | 0.1422     | 0.9482         | 0.5464     | 0.3984            | 0.9255         | 0.1703          | 0.9334              | 0.5630          | 0.4084                 | 0.9522              | 1     |
 | 0.1011     | 0.9626         | 0.5514     | 0.4011            | 0.9448         | 0.1802          | 0.9400              | 0.5506          | 0.3983                 | 0.9366              | 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: 0.0760
+- Train Accuracy: 0.9736
+- Train F1 M: 0.5546
+- Train Precision M: 0.4022
+- Train Recall M: 0.9573
+- Validation Loss: 0.1946
+- Validation Accuracy: 0.9373
+- Validation F1 M: 0.5597
+- Validation Precision M: 0.4031
+- Validation Recall M: 0.9604
+- Epoch: 3
 ## Model description
 | 0.2551     | 0.8979         | 0.4816     | 0.3610            | 0.7830         | 0.1728          | 0.9321              | 0.5389          | 0.3930                 | 0.9010              | 0     |
 | 0.1422     | 0.9482         | 0.5464     | 0.3984            | 0.9255         | 0.1703          | 0.9334              | 0.5630          | 0.4084                 | 0.9522              | 1     |
 | 0.1011     | 0.9626         | 0.5514     | 0.4011            | 0.9448         | 0.1802          | 0.9400              | 0.5506          | 0.3983                 | 0.9366              | 2     |
+| 0.0760     | 0.9736         | 0.5546     | 0.4022            | 0.9573         | 0.1946          | 0.9373              | 0.5597          | 0.4031                 | 0.9604              | 3     |
 ### Framework versions

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