End of training

README.md

@@ -1,12 +1,9 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+base_model: answerdotai/ModernBERT-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: classifier-chapter4
   results: []
@@ -17,11 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # classifier-chapter4
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2578
-- Accuracy: 0.9167
-- F1: 0.9167
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 
 ## Model description
 
@@ -48,14 +41,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2666          | 0.9093   | 0.9092 |
-| 0.3142        | 2.0   | 626  | 0.2578          | 0.9167   | 0.9167 |
-
-
 ### Framework versions
 
 - Transformers 4.57.1

runs/Oct17_18-05-05_3ac509e9d42a/events.out.tfevents.1760724318.3ac509e9d42a.301.1

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