update model card README.md

README.md

@@ -2,9 +2,6 @@
 license: cc-by-nc-sa-4.0
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
 model-index:
 - name: output
   results: []
@@ -16,11 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # output
 
 This model is a fine-tuned version of [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3052
-- Precision: 0.9444
-- Recall: 0.9444
-- F1-measure: 0.9444
 
 ## Model description
 
@@ -47,15 +39,13 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-measure |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:----------:|
-| No log        | 1.0   | 210  | 0.3113          | 0.9167    | 0.9167 | 0.9167     |
-| No log        | 2.0   | 420  | 0.3027          | 0.9444    | 0.9444 | 0.9444     |
-| 0.3652        | 3.0   | 630  | 0.3052          | 0.9444    | 0.9444 | 0.9444     |
+| No log        | 1.0   | 236  | 0.3225          | 0.8889    | 0.8889 | 0.8889     |
 
 
 ### Framework versions