update model card README.md

README.md

@@ -1,11 +1,7 @@
 ---
-language:
-- es
 license: cc-by-nc-4.0
 tags:
 - generated_from_trainer
-datasets:
-- jpherrerap/competencia2
 model-index:
 - name: ner-roberta-es-clinical-trials-ner
   results: []
@@ -16,33 +12,33 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ner-roberta-es-clinical-trials-ner
 
-This model is a fine-tuned version of [lcampillos/roberta-es-clinical-trials-ner](https://huggingface.co/lcampillos/roberta-es-clinical-trials-ner) on the jpherrerap/competencia2 dataset.
+This model is a fine-tuned version of [lcampillos/roberta-es-clinical-trials-ner](https://huggingface.co/lcampillos/roberta-es-clinical-trials-ner) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3264
-- Body Part Precision: 0.0
-- Body Part Recall: 0.0
-- Body Part F1: 0.0
-- Body Part Number: 0
-- Disease Precision: 0.0
-- Disease Recall: 0.0
-- Disease F1: 0.0
-- Disease Number: 0
-- Family Member Precision: 0.0
-- Family Member Recall: 0.0
-- Family Member F1: 0.0
-- Family Member Number: 0
-- Medication Precision: 0.0
-- Medication Recall: 0.0
-- Medication F1: 0.0
-- Medication Number: 0
-- Procedure Precision: 0.0
-- Procedure Recall: 0.0
-- Procedure F1: 0.0
-- Procedure Number: 0
-- Overall Precision: 0.0
-- Overall Recall: 0.0
-- Overall F1: 0.0
-- Overall Accuracy: 0.6704
+- Loss: 0.2661
+- Body Part Precision: 0.7124
+- Body Part Recall: 0.8173
+- Body Part F1: 0.7612
+- Body Part Number: 197
+- Disease Precision: 0.7712
+- Disease Recall: 0.7697
+- Disease F1: 0.7704
+- Disease Number: 521
+- Family Member Precision: 0.8462
+- Family Member Recall: 0.8462
+- Family Member F1: 0.8462
+- Family Member Number: 13
+- Medication Precision: 0.8378
+- Medication Recall: 0.8378
+- Medication F1: 0.8378
+- Medication Number: 37
+- Procedure Precision: 0.6510
+- Procedure Recall: 0.7239
+- Procedure F1: 0.6855
+- Procedure Number: 134
+- Overall Precision: 0.7418
+- Overall Recall: 0.7772
+- Overall F1: 0.7591
+- Overall Accuracy: 0.9238
 
 ## Model description
 
@@ -73,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Body Part Precision | Body Part Recall | Body Part F1 | Body Part Number | Disease Precision | Disease Recall | Disease F1 | Disease Number | Family Member Precision | Family Member Recall | Family Member F1 | Family Member Number | Medication Precision | Medication Recall | Medication F1 | Medication Number | Procedure Precision | Procedure Recall | Procedure F1 | Procedure Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:----------------:|
-| 0.3329        | 1.0   | 502  | 1.3264          | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0              | 0.0                     | 0.0                  | 0.0              | 0                    | 0.0                  | 0.0               | 0.0           | 0                 | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0.6704           |
-| 0.1699        | 2.0   | 1004 | 1.6088          | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0              | 0.0                     | 0.0                  | 0.0              | 0                    | 0.0                  | 0.0               | 0.0           | 0                 | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0.6661           |
+| 0.3329        | 1.0   | 502  | 0.2561          | 0.6830              | 0.7766           | 0.7268       | 197              | 0.7718            | 0.7658         | 0.7688     | 521            | 0.9231                  | 0.9231               | 0.9231           | 13                   | 0.75                 | 0.8108            | 0.7792        | 37                | 0.6218              | 0.7239           | 0.6690       | 134              | 0.7274            | 0.7661         | 0.7462     | 0.9219           |
+| 0.1699        | 2.0   | 1004 | 0.2661          | 0.7124              | 0.8173           | 0.7612       | 197              | 0.7712            | 0.7697         | 0.7704     | 521            | 0.8462                  | 0.8462               | 0.8462           | 13                   | 0.8378               | 0.8378            | 0.8378        | 37                | 0.6510              | 0.7239           | 0.6855       | 134              | 0.7418            | 0.7772         | 0.7591     | 0.9238           |
 
 
 ### Framework versions