gustavokpc
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bert-base-portuguese-cased_LRATE_1e-06_EPOCHS_10

Text Classification

generated_from_keras_callback

Inference Endpoints

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gustavokpc commited on Feb 5

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1f5b7b7

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1 Parent(s): e67ade0

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: 0.1883
-- Train Accuracy: 0.9300
-- Train F1 M: 0.5471
-- Train Precision M: 0.3992
-- Train Recall M: 0.9253
-- Validation Loss: 0.1970
-- Validation Accuracy: 0.9294
-- Validation F1 M: 0.5504
-- Validation Precision M: 0.3977
-- Validation Recall M: 0.9356
-- Epoch: 3
 ## Model description
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.2432     | 0.9126         | 0.5317     | 0.3942            | 0.8764         | 0.2185          | 0.9169              | 0.5490          | 0.3979                 | 0.9239              | 1     |
 | 0.2054     | 0.9262         | 0.5438     | 0.3981            | 0.9151         | 0.2059          | 0.9222              | 0.5441          | 0.3948                 | 0.9188              | 2     |
 | 0.1883     | 0.9300         | 0.5471     | 0.3992            | 0.9253         | 0.1970          | 0.9294              | 0.5504          | 0.3977                 | 0.9356              | 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: 0.1771
+- Train Accuracy: 0.9359
+- Train F1 M: 0.5494
+- Train Precision M: 0.4011
+- Train Recall M: 0.9339
+- Validation Loss: 0.1918
+- Validation Accuracy: 0.9268
+- Validation F1 M: 0.5550
+- Validation Precision M: 0.4005
+- Validation Recall M: 0.9486
+- Epoch: 4
 ## Model description
 | 0.2432     | 0.9126         | 0.5317     | 0.3942            | 0.8764         | 0.2185          | 0.9169              | 0.5490          | 0.3979                 | 0.9239              | 1     |
 | 0.2054     | 0.9262         | 0.5438     | 0.3981            | 0.9151         | 0.2059          | 0.9222              | 0.5441          | 0.3948                 | 0.9188              | 2     |
 | 0.1883     | 0.9300         | 0.5471     | 0.3992            | 0.9253         | 0.1970          | 0.9294              | 0.5504          | 0.3977                 | 0.9356              | 3     |
+| 0.1771     | 0.9359         | 0.5494     | 0.4011            | 0.9339         | 0.1918          | 0.9268              | 0.5550          | 0.4005                 | 0.9486              | 4     |
 ### Framework versions

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