update model card README.md

README.md

@@ -1,8 +1,6 @@
 ---
 tags:
 - generated_from_trainer
-datasets:
-- jorgeortizfuentes/spanish_nominal_groups_conll2003
 model-index:
 - name: nominal-groups-recognition-bert-base-spanish-wwm-cased
   results: []
@@ -13,17 +11,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # nominal-groups-recognition-bert-base-spanish-wwm-cased
 
-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 jorgeortizfuentes/spanish_nominal_groups_conll2003 dataset.
+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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2837
-- Ng Precision: 0.7207
-- Ng Recall: 0.7761
-- Ng F1: 0.7474
+- Loss: 0.3116
+- Ng Precision: 0.7275
+- Ng Recall: 0.7770
+- Ng F1: 0.7514
 - Ng Number: 3198
-- Overall Precision: 0.7207
-- Overall Recall: 0.7761
-- Overall F1: 0.7474
-- Overall Accuracy: 0.8982
+- Overall Precision: 0.7275
+- Overall Recall: 0.7770
+- Overall F1: 0.7514
+- Overall Accuracy: 0.9003
 
 ## Model description
 
@@ -48,15 +46,17 @@ The following hyperparameters were used during training:
 - seed: 13
 - 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 | Ng Precision | Ng Recall | Ng F1  | Ng Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------------:|:---------:|:------:|:---------:|:-----------------:|:--------------:|:----------:|:----------------:|
-| No log        | 1.0   | 114  | 0.2899          | 0.6950       | 0.7473    | 0.7202 | 3198      | 0.6950            | 0.7473         | 0.7202     | 0.8889           |
-| No log        | 2.0   | 228  | 0.2792          | 0.7171       | 0.7674    | 0.7414 | 3198      | 0.7171            | 0.7674         | 0.7414     | 0.8969           |
-| No log        | 3.0   | 342  | 0.2837          | 0.7207       | 0.7761    | 0.7474 | 3198      | 0.7207            | 0.7761         | 0.7474     | 0.8982           |
+| 0.451         | 1.0   | 114  | 0.2882          | 0.6985       | 0.7483    | 0.7225 | 3198      | 0.6985            | 0.7483         | 0.7225     | 0.8899           |
+| 0.2429        | 2.0   | 228  | 0.2917          | 0.7294       | 0.7483    | 0.7387 | 3198      | 0.7294            | 0.7483         | 0.7387     | 0.8932           |
+| 0.193         | 3.0   | 342  | 0.2864          | 0.7306       | 0.7727    | 0.7511 | 3198      | 0.7306            | 0.7727         | 0.7511     | 0.9000           |
+| 0.1586        | 4.0   | 456  | 0.2988          | 0.7309       | 0.7780    | 0.7537 | 3198      | 0.7309            | 0.7780         | 0.7537     | 0.9019           |
+| 0.1386        | 5.0   | 570  | 0.3116          | 0.7275       | 0.7770    | 0.7514 | 3198      | 0.7275            | 0.7770         | 0.7514     | 0.9003           |
 
 
 ### Framework versions