End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: mnaylor/mega-base-wikitext
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: mega-base-multiple-choice-fp16-v1
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mega-base-multiple-choice-fp16-v1
 
-This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on an unknown dataset.
+This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6932
+- Accuracy: 0.5012
+- Precision: 0.5017
+- Recall: 0.3409
+- F1: 0.4060
 
 ## Model description
 
@@ -41,6 +52,15 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 269  | 0.6933          | 0.4944   | 0.4649    | 0.0743 | 0.1281 |
+| 0.6938        | 2.0   | 538  | 0.6932          | 0.4931   | 0.4910    | 0.3799 | 0.4284 |
+| 0.6938        | 3.0   | 807  | 0.6932          | 0.5012   | 0.5017    | 0.3409 | 0.4060 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2