update model card README.md

README.md

@@ -2,6 +2,11 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: distilbert-base-uncased-ner_cv
   results: []
@@ -13,6 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-ner_cv
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8548
+- Precision: 0.3327
+- Recall: 0.2358
+- F1: 0.2760
+- Accuracy: 0.7815
 
 ## Model description
 
@@ -38,13 +49,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 20
-- num_epochs: 5
+- num_epochs: 30
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 5.0   | 30   | 1.1978          | 0.0       | 0.0    | 0.0 | 0.7537   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 5.0   | 30   | 1.0790          | 0.0       | 0.0    | 0.0    | 0.7537   |
+| No log        | 10.0  | 60   | 0.9589          | 0.3208    | 0.1207 | 0.1754 | 0.7677   |
+| No log        | 15.0  | 90   | 0.8975          | 0.3363    | 0.1591 | 0.2160 | 0.7773   |
+| No log        | 20.0  | 120  | 0.8675          | 0.3354    | 0.2259 | 0.2699 | 0.7786   |
+| No log        | 25.0  | 150  | 0.8568          | 0.3333    | 0.2443 | 0.2820 | 0.7811   |
+| No log        | 30.0  | 180  | 0.8548          | 0.3327    | 0.2358 | 0.2760 | 0.7815   |
 
 
 ### Framework versions