End of training

README.md

@@ -0,0 +1,93 @@
+---
+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-ner-custom
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2003
+      type: conll2003
+      config: conll2003
+      split: test
+      args: conll2003
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8829878362172349
+    - name: Recall
+      type: recall
+      value: 0.9125354107648725
+    - name: F1
+      type: f1
+      value: 0.8975185023944274
+    - name: Accuracy
+      type: accuracy
+      value: 0.9712264225272215
+---
+
+<!-- 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-ner-custom
+
+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: 0.1914
+- Precision: 0.8830
+- Recall: 0.9125
+- F1: 0.8975
+- Accuracy: 0.9712
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0754        | 1.0   | 1756 | 0.1666          | 0.8592    | 0.8998 | 0.8790 | 0.9678   |
+| 0.0349        | 2.0   | 3512 | 0.1794          | 0.8843    | 0.9065 | 0.8953 | 0.9712   |
+| 0.0213        | 3.0   | 5268 | 0.1914          | 0.8830    | 0.9125 | 0.8975 | 0.9712   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

runs/Oct07_08-15-33_d128bc357ab0/events.out.tfevents.1728288934.d128bc357ab0.1573.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eea23c174b60f96b7fe1d45e78e69049d0f24472b32d8c58e39a51bb305c82c0
-size 8286
+oid sha256:ff2096978a0df213a48d12b814f8dd736534fd9e8d1cd717e358a7b7eaf03972
+size 9112