asquevedos
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bryan-NM

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asquevedos commited on Jun 2

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6212
-- Accuracy: 0.5842
-- F1: 0.5640
-- Precision: 0.5565
-- Recall: 0.5842
 ## Model description
@@ -48,17 +48,17 @@ 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 | F1     | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.754         | 1.0   | 3538  | 1.7488          | 0.5315   | 0.4821 | 0.4742    | 0.5315 |
-| 1.4375        | 2.0   | 7076  | 1.5877          | 0.5576   | 0.5281 | 0.5277    | 0.5576 |
-| 1.1987        | 3.0   | 10614 | 1.5747          | 0.5732   | 0.5398 | 0.5357    | 0.5732 |
-| 0.9813        | 4.0   | 14152 | 1.5816          | 0.5844   | 0.5624 | 0.5529    | 0.5844 |
-| 0.8453        | 5.0   | 17690 | 1.6212          | 0.5842   | 0.5640 | 0.5565    | 0.5842 |
 ### Framework versions

 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.7199
+- Accuracy: 0.5748
+- F1: 0.5605
+- Precision: 0.5671
+- Recall: 0.5748
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 20
 ### Training results
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.7351        | 1.0   | 3538  | 1.7392          | 0.5337   | 0.4912 | 0.4894    | 0.5337 |
+| 1.437         | 2.0   | 7076  | 1.5840          | 0.5612   | 0.5349 | 0.5385    | 0.5612 |
+| 1.2189        | 3.0   | 10614 | 1.5880          | 0.5726   | 0.5404 | 0.5349    | 0.5726 |
+| 1.0029        | 4.0   | 14152 | 1.6101          | 0.5782   | 0.5657 | 0.5679    | 0.5782 |
+| 0.8513        | 5.0   | 17690 | 1.7199          | 0.5748   | 0.5605 | 0.5671    | 0.5748 |
 ### Framework versions

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