Training complete

README.md

@@ -0,0 +1,93 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- conll2003
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: modernbert-conll-ner
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2003
+      type: conll2003
+      config: conll2003
+      split: None
+      args: conll2003
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9358846918489065
+    - name: Recall
+      type: recall
+      value: 0.9506900033658701
+    - name: F1
+      type: f1
+      value: 0.943229253631658
+    - name: Accuracy
+      type: accuracy
+      value: 0.9879263507395111
+---
+
+<!-- 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. -->
+
+# modernbert-conll-ner
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the conll2003 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0649
+- Precision: 0.9359
+- Recall: 0.9507
+- F1: 0.9432
+- Accuracy: 0.9879
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.023         | 1.0   | 1756 | 0.0683          | 0.9201    | 0.9416 | 0.9307 | 0.9859   |
+| 0.0222        | 2.0   | 3512 | 0.0614          | 0.9345    | 0.9514 | 0.9429 | 0.9874   |
+| 0.0097        | 3.0   | 5268 | 0.0649          | 0.9359    | 0.9507 | 0.9432 | 0.9879   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan18_04-57-10_0f9658e8028d/events.out.tfevents.1737176230.0f9658e8028d.457.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d093c69f7cd73bd22fd63615084b7b51a521130eb545dcb2586457c71ee38e8
-size 8614
+oid sha256:5877a43ca51873d6f94177842a63f83a6cfc33a46424351c02719984d8f21dc0
+size 9440