Training completed!

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-large-uncased
+tags:
+- generated_from_trainer
+datasets:
+- conll2003
+metrics:
+- f1
+model-index:
+- name: bert-large-uncased-for-ner
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2003
+      type: conll2003
+      config: conll2003
+      split: validation
+      args: conll2003
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9507620164126612
+---
+
+<!-- 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. -->
+
+# bert-large-uncased-for-ner
+
+This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on the conll2003 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0371
+- F1: 0.9508
+
+## 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: 5e-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1141        | 1.0   | 586  | 0.0443          | 0.9336 |
+| 0.0267        | 2.0   | 1172 | 0.0382          | 0.9458 |
+| 0.0108        | 3.0   | 1758 | 0.0371          | 0.9508 |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1