MatBERT-conll2003

README.md

@@ -3,9 +3,38 @@ license: apache-2.0
 base_model: Flamenco43/MatBERT
 tags:
 - generated_from_trainer
+datasets:
+- conll2003
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: MatBERT-conll2003
-  results: []
+  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: 0.8569527611443779
+    - name: Recall
+      type: recall
+      value: 0.8670481319421071
+    - name: F1
+      type: f1
+      value: 0.8619708884055547
+    - name: Accuracy
+      type: accuracy
+      value: 0.9732876445621277
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +42,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # MatBERT-conll2003
 
-This model is a fine-tuned version of [Flamenco43/MatBERT](https://huggingface.co/Flamenco43/MatBERT) on an unknown dataset.
+This model is a fine-tuned version of [Flamenco43/MatBERT](https://huggingface.co/Flamenco43/MatBERT) on the conll2003 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0971
+- Precision: 0.8570
+- Recall: 0.8670
+- F1: 0.8620
+- Accuracy: 0.9733
 
 ## Model description
 
@@ -40,6 +75,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 4
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1055        | 1.0   | 1756 | 0.0971          | 0.8570    | 0.8670 | 0.8620 | 0.9733   |
+| 0.047         | 2.0   | 3512 | 0.0992          | 0.8910    | 0.8803 | 0.8856 | 0.9770   |
+| 0.0206        | 3.0   | 5268 | 0.1094          | 0.9015    | 0.8930 | 0.8972 | 0.9787   |
+| 0.0075        | 4.0   | 7024 | 0.1126          | 0.8958    | 0.9000 | 0.8979 | 0.9793   |
+
+
 ### Framework versions
 
 - Transformers 4.41.2

runs/Sep10_13-49-59_DESKTOP-0CNUOPF/events.out.tfevents.1725974226.DESKTOP-0CNUOPF.27440.7

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