End of training

README.md

@@ -6,19 +6,19 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: roberta-base-bne-finetuned-new_or_used_title-gpu
+- name: roberta-base-bne-finetuned-new_or_used_warranty-gpu
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# roberta-base-bne-finetuned-new_or_used_title-gpu
+# roberta-base-bne-finetuned-new_or_used_warranty-gpu
 
 This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4096
-- Accuracy: 0.8476
+- Loss: 0.5682
+- Accuracy: 0.6360
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.3803        | 1.0   | 5000  | 0.3575          | 0.8442   |
-| 0.2344        | 2.0   | 10000 | 0.4096          | 0.8476   |
+| 0.5783        | 1.0   | 5000  | 0.5747          | 0.6327   |
+| 0.5577        | 2.0   | 10000 | 0.5682          | 0.6360   |
 
 
 ### Framework versions