NER-finetuning-BETO

README.md

@@ -5,9 +5,36 @@ tags:
 - generated_from_trainer
 datasets:
 - conll2002
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: NER-finetuning-BETO
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2002
+      type: conll2002
+      config: es
+      split: validation
+      args: es
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8414992097538948
+    - name: Recall
+      type: recall
+      value: 0.8563878676470589
+    - name: F1
+      type: f1
+      value: 0.8488782598792848
+    - name: Accuracy
+      type: accuracy
+      value: 0.9704469377634515
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [NazaGara/NER-fine-tuned-BETO](https://huggingface.co/NazaGara/NER-fine-tuned-BETO) on the conll2002 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1860
+- Loss: 0.2009
+- Precision: 0.8415
+- Recall: 0.8564
+- F1: 0.8489
+- Accuracy: 0.9704
 
 ## Model description
 
@@ -42,15 +73,17 @@ 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: 3
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.0483        | 1.0   | 1041 | 0.1437          |
-| 0.0267        | 2.0   | 2082 | 0.1630          |
-| 0.0133        | 3.0   | 3123 | 0.1860          |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0499        | 1.0   | 1041 | 0.1461          | 0.8328    | 0.8573 | 0.8449 | 0.9695   |
+| 0.0288        | 2.0   | 2082 | 0.1672          | 0.8244    | 0.8564 | 0.8401 | 0.9694   |
+| 0.0173        | 3.0   | 3123 | 0.1694          | 0.8487    | 0.8672 | 0.8578 | 0.9715   |
+| 0.0119        | 4.0   | 4164 | 0.2023          | 0.8434    | 0.8525 | 0.8479 | 0.9695   |
+| 0.0084        | 5.0   | 5205 | 0.2009          | 0.8415    | 0.8564 | 0.8489 | 0.9704   |
 
 
 ### Framework versions

runs/Jun05_04-00-30_67f52afe5edc/events.out.tfevents.1717562229.67f52afe5edc.213.9

@@ -0,0 +1,3 @@
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+oid sha256:2cae3c372d51ad1e1d600cfb03acd7b423ee749427084a8de15c8c3497ea007a
+size 560