End of training

README.md

@@ -3,9 +3,6 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
-metrics:
-- f1
-- accuracy
 model-index:
 - name: roberta-truncated-echr_facts_all_labels_lora
   results: []
@@ -17,11 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # roberta-truncated-echr_facts_all_labels_lora
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0727
-- F1: 0.7452
-- Roc Auc: 0.8539
-- Accuracy: 0.5908
 
 ## Model description
 
@@ -48,17 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
-| 0.0678        | 1.0   | 3530  | 0.0698          | 0.7213 | 0.8258  | 0.5341   |
-| 0.0581        | 2.0   | 7060  | 0.0663          | 0.7339 | 0.8334  | 0.5711   |
-| 0.0493        | 3.0   | 10590 | 0.0691          | 0.7381 | 0.8435  | 0.5825   |
-| 0.0415        | 4.0   | 14120 | 0.0727          | 0.7452 | 0.8539  | 0.5908   |
-| 0.0326        | 5.0   | 17650 | 0.0761          | 0.7364 | 0.8480  | 0.5774   |
-
-
 ### Framework versions
 
 - Transformers 4.35.2