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-v3
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mega-base-multiple-choice-fp16-v3
 
-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: 0.4974
+- Precision: 0.4974
+- Recall: 0.5020
+- F1: 0.4997
 
 ## Model description
 
@@ -42,6 +53,15 @@ 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   | 34   | 0.6932          | 0.4970   | 0.4971    | 0.5023 | 0.4997 |
+| No log        | 2.0   | 68   | 0.6932          | 0.4975   | 0.4975    | 0.5026 | 0.5001 |
+| No log        | 3.0   | 102  | 0.6932          | 0.4974   | 0.4974    | 0.5020 | 0.4997 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf7b6816a9169e17255885faaf92f1edc4feb7ec4b29df50fd567e17acbd7d8e
+oid sha256:64698529bc200a542ed0953d731129a4de55b4bace9b2d4606d6f12c3d9f121e
 size 29381028