Traning complete

README.md

@@ -0,0 +1,95 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+datasets:
+- conll2003
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-base-cased-finetuned-ner
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2003
+      type: conll2003
+      config: conll2003
+      split: validation
+      args: conll2003
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9417717319177173
+    - name: Recall
+      type: recall
+      value: 0.9554022214742511
+    - name: F1
+      type: f1
+      value: 0.9485380116959065
+    - name: Accuracy
+      type: accuracy
+      value: 0.9877111909106964
+---
+
+<!-- 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-base-cased-finetuned-ner
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2003 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0683
+- Precision: 0.9418
+- Recall: 0.9554
+- F1: 0.9485
+- Accuracy: 0.9877
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0783        | 1.0   | 1756 | 0.0708          | 0.8922    | 0.9290 | 0.9102 | 0.9803   |
+| 0.0361        | 2.0   | 3512 | 0.0706          | 0.9318    | 0.9467 | 0.9391 | 0.9850   |
+| 0.022         | 3.0   | 5268 | 0.0592          | 0.9352    | 0.9524 | 0.9437 | 0.9867   |
+| 0.0131        | 4.0   | 7024 | 0.0647          | 0.9389    | 0.9549 | 0.9469 | 0.9874   |
+| 0.0068        | 5.0   | 8780 | 0.0683          | 0.9418    | 0.9554 | 0.9485 | 0.9877   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep07_11-12-45_01e730029477/events.out.tfevents.1725707571.01e730029477.4423.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fb97bed9f936a63b1c3713472b23257f375b630f0cff9d2e9d10471373ff1e4e
-size 10749
+oid sha256:8e5ed0d6dde20ba3776b24a27b5d521dc82f415e59d30a9dbbc4350a2ccf1d32
+size 11575