hucruz
/

pautas

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7715
-- Precision: 0.125
-- Recall: 0.02
-- F1: 0.0345
-- Accuracy: 0.6023
 ## Model description
@@ -47,14 +47,32 @@ 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: 2
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 83   | 1.8807          | 0.0       | 0.0    | 0.0    | 0.5821   |
-| No log        | 2.0   | 166  | 1.7715          | 0.125     | 0.02   | 0.0345 | 0.6023   |
 ### Framework versions

 This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.0209
+- Precision: 0.6957
+- Recall: 0.64
+- F1: 0.6667
+- Accuracy: 0.8213
 ## 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 | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 83   | 1.2700          | 0.25      | 0.12   | 0.1622 | 0.6715   |
+| No log        | 2.0   | 166  | 1.1435          | 0.2368    | 0.18   | 0.2045 | 0.6916   |
+| No log        | 3.0   | 249  | 0.9911          | 0.3333    | 0.3    | 0.3158 | 0.7349   |
+| No log        | 4.0   | 332  | 0.9822          | 0.3830    | 0.36   | 0.3711 | 0.7349   |
+| No log        | 5.0   | 415  | 0.9909          | 0.4118    | 0.42   | 0.4158 | 0.7493   |
+| No log        | 6.0   | 498  | 0.9497          | 0.5       | 0.48   | 0.4898 | 0.7752   |
+| 0.5833        | 7.0   | 581  | 0.9898          | 0.5490    | 0.56   | 0.5545 | 0.7867   |
+| 0.5833        | 8.0   | 664  | 0.9396          | 0.5       | 0.52   | 0.5098 | 0.7954   |
+| 0.5833        | 9.0   | 747  | 0.9335          | 0.5490    | 0.56   | 0.5545 | 0.7925   |
+| 0.5833        | 10.0  | 830  | 0.8919          | 0.5370    | 0.58   | 0.5577 | 0.8156   |
+| 0.5833        | 11.0  | 913  | 0.9854          | 0.5918    | 0.58   | 0.5859 | 0.8040   |
+| 0.5833        | 12.0  | 996  | 0.9882          | 0.6809    | 0.64   | 0.6598 | 0.8069   |
+| 0.1309        | 13.0  | 1079 | 0.9832          | 0.7021    | 0.66   | 0.6804 | 0.8271   |
+| 0.1309        | 14.0  | 1162 | 0.9825          | 0.6809    | 0.64   | 0.6598 | 0.8127   |
+| 0.1309        | 15.0  | 1245 | 0.9943          | 0.6735    | 0.66   | 0.6667 | 0.8184   |
+| 0.1309        | 16.0  | 1328 | 1.0127          | 0.6667    | 0.64   | 0.6531 | 0.8012   |
+| 0.1309        | 17.0  | 1411 | 1.0154          | 0.6957    | 0.64   | 0.6667 | 0.8040   |
+| 0.1309        | 18.0  | 1494 | 1.0161          | 0.7333    | 0.66   | 0.6947 | 0.8271   |
+| 0.0567        | 19.0  | 1577 | 1.0185          | 0.6809    | 0.64   | 0.6598 | 0.8242   |
+| 0.0567        | 20.0  | 1660 | 1.0209          | 0.6957    | 0.64   | 0.6667 | 0.8213   |
 ### Framework versions