End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.9470019136721242
+      value: 0.9479897894065092
     - name: Recall
       type: recall
-      value: 0.9679960878069985
+      value: 0.9685937839600087
     - name: F1
       type: f1
-      value: 0.9573839208942391
+      value: 0.9581810363362717
     - name: Accuracy
       type: accuracy
-      value: 0.9778395721925134
+      value: 0.9781675579322638
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ 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 the biobert_json dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1006
-- Precision: 0.9470
-- Recall: 0.9680
-- F1: 0.9574
-- Accuracy: 0.9778
+- Loss: 0.1032
+- Precision: 0.9480
+- Recall: 0.9686
+- F1: 0.9582
+- Accuracy: 0.9782
 
 ## Model description
 
@@ -73,16 +73,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.3591        | 1.0   | 612  | 0.1160          | 0.9414    | 0.9381 | 0.9397 | 0.9692   |
-| 0.1087        | 2.0   | 1224 | 0.1042          | 0.9355    | 0.9710 | 0.9529 | 0.9751   |
-| 0.0752        | 3.0   | 1836 | 0.0972          | 0.9506    | 0.9673 | 0.9589 | 0.9782   |
-| 0.0594        | 4.0   | 2448 | 0.1006          | 0.9470    | 0.9680 | 0.9574 | 0.9778   |
+| 0.3605        | 1.0   | 612  | 0.1104          | 0.9414    | 0.9462 | 0.9438 | 0.9707   |
+| 0.1106        | 2.0   | 1224 | 0.1074          | 0.9306    | 0.9707 | 0.9502 | 0.9742   |
+| 0.0786        | 3.0   | 1836 | 0.0983          | 0.9460    | 0.9688 | 0.9573 | 0.9776   |
+| 0.0596        | 4.0   | 2448 | 0.1017          | 0.9465    | 0.9703 | 0.9583 | 0.9780   |
+| 0.0387        | 5.0   | 3060 | 0.1032          | 0.9480    | 0.9686 | 0.9582 | 0.9782   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5ae8a10362448a18f363ef2cfecc0217ea06fd3bcae233fe50aa5cadfa537f51
+oid sha256:d4b1abb1351ab3a2972f727d28cf53293837f9785280e00b1ccd9e9112c9b45a
 size 437156776