End of training

README.md

@@ -3,6 +3,10 @@ license: apache-2.0
 base_model: Flamenco43/MatBERT
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- precision
+- recall
 model-index:
 - name: MatBERTNanoQA
   results: []
@@ -15,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # MatBERTNanoQA
 
 This model is a fine-tuned version of [Flamenco43/MatBERT](https://huggingface.co/Flamenco43/MatBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1722
+- F1: 74.5785
+- Em: 62.5
+- Precision: 0
+- Recall: 0
 
 ## Model description
 
@@ -41,6 +51,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 4
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1      | Em      | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:------:|
+| 1.1937        | 1.0   | 1118 | 1.5914          | 67.1538 | 50.0    | 0         | 0      |
+| 1.0172        | 2.0   | 2236 | 1.3482          | 72.0843 | 59.6154 | 0         | 0      |
+| 0.8463        | 3.0   | 3354 | 1.2223          | 74.0304 | 62.5    | 0         | 0      |
+| 0.7447        | 4.0   | 4472 | 1.1722          | 74.5785 | 62.5    | 0         | 0      |
+
+
 ### Framework versions
 
 - Transformers 4.42.4