Training completed!

README.md

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+---
+license: apache-2.0
+base_model: dslim/distilbert-NER
+tags:
+- generated_from_trainer
+datasets:
+- conll2012_ontonotesv5
+metrics:
+- f1
+model-index:
+- name: distilbert-NER-finetuned
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2012_ontonotesv5
+      type: conll2012_ontonotesv5
+      config: english_v4
+      split: validation
+      args: english_v4
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.47876447876447875
+---
+
+<!-- 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. -->
+
+# distilbert-NER-finetuned
+
+This model is a fine-tuned version of [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on the conll2012_ontonotesv5 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5652
+- F1: 0.4788
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0541        | 1.0   | 81   | 0.7248          | 0.3931 |
+| 0.6283        | 2.0   | 162  | 0.6020          | 0.4621 |
+| 0.5061        | 3.0   | 243  | 0.5652          | 0.4788 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Aug31_23-51-05_d0b0eca3538a/events.out.tfevents.1725148274.d0b0eca3538a.13189.0

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