Training in progress, epoch 1

README.md

@@ -11,30 +11,7 @@ metrics:
 - accuracy
 model-index:
 - name: ModernBERT-base-NER
-  results:
-    - task:
-        type: token-classification
-      dataset:
-        name: lhoestq/conll2003
-        type: lhoestq/conll2003
-      metrics:
-        - name: Precision
-          type: Precision
-          value: 0.8982
-        - name: Recall
-          type: Recall
-          value: 0.9239
-        - name: F1
-          type: F1
-          value: 0.9109
-        - name: Accuracy
-          type: Accuracy
-          value: 0.9822
-datasets:
-- lhoestq/conll2003
-language:
-- en
-pipeline_tag: token-classification
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -42,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ModernBERT-base-NER
 
-This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on [lhoestq/conll2003](https://huggingface.co/datasets/lhoestq/conll2003) dataset.
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5320
 - Precision: 0.8982
@@ -90,4 +67,4 @@ The following hyperparameters were used during training:
 - Transformers 5.1.0
 - Pytorch 2.7.0a0+ecf3bae40a.nv25.02
 - Datasets 4.5.0
-- Tokenizers 0.22.2
+- Tokenizers 0.22.2

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training_args.bin

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