AAMartinez
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hate_BERTimbau_v1

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AAMartinez commited on Jun 11

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README.md +9 -8
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 # hate_BERTimbau_v1
-This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the Fortuna et al (2019) dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0655
 - Precision: 0.7690
 - Recall: 0.7690
 - F1: 0.7690
@@ -49,17 +49,18 @@ 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: 10
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.5264        | 1.0   | 284  | 0.5050          | 0.7619    | 0.7619 | 0.7619 | 0.7619   |
-| 0.4133        | 2.0   | 568  | 0.4516          | 0.7937    | 0.7937 | 0.7937 | 0.7937   |
-| 0.289         | 3.0   | 852  | 0.6485          | 0.7531    | 0.7531 | 0.7531 | 0.7531   |
-| 0.1804        | 4.0   | 1136 | 0.7828          | 0.7813    | 0.7813 | 0.7813 | 0.7813   |
-| 0.1147        | 5.0   | 1420 | 1.0655          | 0.7690    | 0.7690 | 0.7690 | 0.7690   |
 ### Framework versions

 # hate_BERTimbau_v1
+This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.0345
 - Precision: 0.7690
 - Recall: 0.7690
 - F1: 0.7690
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 6
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.5301        | 1.0   | 284  | 0.5012          | 0.7443    | 0.7443 | 0.7443 | 0.7443   |
+| 0.4174        | 2.0   | 568  | 0.4574          | 0.7725    | 0.7725 | 0.7725 | 0.7725   |
+| 0.2942        | 3.0   | 852  | 0.5691          | 0.7760    | 0.7760 | 0.7760 | 0.7760   |
+| 0.1929        | 4.0   | 1136 | 0.7652          | 0.7672    | 0.7672 | 0.7672 | 0.7672   |
+| 0.1283        | 5.0   | 1420 | 0.9161          | 0.7601    | 0.7601 | 0.7601 | 0.7601   |
+| 0.0966        | 6.0   | 1704 | 1.0345          | 0.7690    | 0.7690 | 0.7690 | 0.7690   |
 ### Framework versions

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