gustavokpc
/

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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d9b5e1b

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1 Parent(s): 9f8a0ab

Training in progress epoch 8

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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: 0.1536
-- Train Accuracy: 0.9452
-- Train F1 M: 0.5529
-- Train Precision M: 0.4028
-- Train Recall M: 0.9419
-- Validation Loss: 0.1871
-- Validation Accuracy: 0.9301
-- Validation F1 M: 0.5561
-- Validation Precision M: 0.4010
-- Validation Recall M: 0.9521
-- Epoch: 7
 ## Model description
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 0.1632     | 0.9418         | 0.5507     | 0.4016            | 0.9369         | 0.1889          | 0.9294              | 0.5578          | 0.4023                 | 0.9538              | 5     |
 | 0.1591     | 0.9436         | 0.5507     | 0.4023            | 0.9416         | 0.1878          | 0.9307              | 0.5547          | 0.4005                 | 0.9464              | 6     |
 | 0.1536     | 0.9452         | 0.5529     | 0.4028            | 0.9419         | 0.1871          | 0.9301              | 0.5561          | 0.4010                 | 0.9521              | 7     |
 ### 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: 0.1512
+- Train Accuracy: 0.9471
+- Train F1 M: 0.5514
+- Train Precision M: 0.4012
+- Train Recall M: 0.9396
+- Validation Loss: 0.1864
+- Validation Accuracy: 0.9307
+- Validation F1 M: 0.5599
+- Validation Precision M: 0.4032
+- Validation Recall M: 0.9613
+- Epoch: 8
 ## Model description
 | 0.1632     | 0.9418         | 0.5507     | 0.4016            | 0.9369         | 0.1889          | 0.9294              | 0.5578          | 0.4023                 | 0.9538              | 5     |
 | 0.1591     | 0.9436         | 0.5507     | 0.4023            | 0.9416         | 0.1878          | 0.9307              | 0.5547          | 0.4005                 | 0.9464              | 6     |
 | 0.1536     | 0.9452         | 0.5529     | 0.4028            | 0.9419         | 0.1871          | 0.9301              | 0.5561          | 0.4010                 | 0.9521              | 7     |
+| 0.1512     | 0.9471         | 0.5514     | 0.4012            | 0.9396         | 0.1864          | 0.9307              | 0.5599          | 0.4032                 | 0.9613              | 8     |
 ### Framework versions

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