End of training

README.md

@@ -1,7 +1,5 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: answerdotai/ModernBERT-base
 tags:
 - generated_from_trainer
 metrics:
@@ -19,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # multipride_modern_bert_ner
 
-This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3899
-- Accuracy: 0.8951
-- Precision: 0.8254
-- Recall: 0.6914
-- F1: 0.7331
+- Loss: 0.3864
+- Accuracy: 0.8929
+- Precision: 0.8021
+- Recall: 0.7096
+- F1: 0.7432
 
 ## Model description
 
@@ -56,9 +54,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.37          | 1.0   | 262  | 0.3289          | 0.8817   | 0.7757    | 0.6706 | 0.7043 |
-| 0.3173        | 2.0   | 524  | 0.3727          | 0.8795   | 0.7627    | 0.6823 | 0.7111 |
-| 0.255         | 3.0   | 786  | 0.3899          | 0.8951   | 0.8254    | 0.6914 | 0.7331 |
+| 0.3569        | 1.0   | 262  | 0.3188          | 0.875    | 0.7596    | 0.6406 | 0.6733 |
+| 0.3044        | 2.0   | 524  | 0.4197          | 0.8661   | 0.7245    | 0.7005 | 0.7113 |
+| 0.2629        | 3.0   | 786  | 0.3864          | 0.8929   | 0.8021    | 0.7096 | 0.7432 |
 
 
 ### Framework versions