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bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions

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Luciano commited on Sep 15, 2022

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [Luciano/bertimbau-base-finetuned-lener-br](https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6964
-- Accuracy: 0.7772
 ## Model description
@@ -42,17 +42,27 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 203  | 0.7973          | 0.6510   |
-| No log        | 2.0   | 406  | 0.6244          | 0.7550   |
-| 0.7017        | 3.0   | 609  | 0.6349          | 0.7822   |
-| 0.7017        | 4.0   | 812  | 0.6685          | 0.7723   |
-| 0.3117        | 5.0   | 1015 | 0.6964          | 0.7772   |
 ### Framework versions

 This model is a fine-tuned version of [Luciano/bertimbau-base-finetuned-lener-br](https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.5456
+- Accuracy: 0.7822
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 15
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 203  | 0.7854          | 0.6683   |
+| No log        | 2.0   | 406  | 0.6289          | 0.7574   |
+| 0.6974        | 3.0   | 609  | 0.6930          | 0.7822   |
+| 0.6974        | 4.0   | 812  | 0.7168          | 0.7649   |
+| 0.2928        | 5.0   | 1015 | 0.8712          | 0.7822   |
+| 0.2928        | 6.0   | 1218 | 0.9827          | 0.7772   |
+| 0.2928        | 7.0   | 1421 | 1.1399          | 0.7624   |
+| 0.1056        | 8.0   | 1624 | 1.2653          | 0.7847   |
+| 0.1056        | 9.0   | 1827 | 1.3478          | 0.7673   |
+| 0.0403        | 10.0  | 2030 | 1.4290          | 0.7673   |
+| 0.0403        | 11.0  | 2233 | 1.4404          | 0.7797   |
+| 0.0403        | 12.0  | 2436 | 1.4250          | 0.7797   |
+| 0.016         | 13.0  | 2639 | 1.5548          | 0.7797   |
+| 0.016         | 14.0  | 2842 | 1.5110          | 0.7871   |
+| 0.0055        | 15.0  | 3045 | 1.5456          | 0.7822   |
 ### Framework versions