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-v1
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mega-base-multiple-choice-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: 0.6933
+- Accuracy: 0.5017
+- Precision: 0.5087
+- Recall: 0.0964
+- F1: 0.1620
 
 ## Model description
 
@@ -40,6 +51,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 269  | 0.6932          | 0.5058   | 0.5126    | 0.2356 | 0.3229 |
+| 0.694         | 2.0   | 538  | 0.6933          | 0.5033   | 0.5195    | 0.0878 | 0.1502 |
+| 0.694         | 3.0   | 807  | 0.6933          | 0.5017   | 0.5087    | 0.0964 | 0.1620 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70453be5d6dbc9278e329a91d7e850f3a6399a130669cecc8644dc0e5bb23767
+oid sha256:07af59452280d3b9a296b265485e7232635985805dbdc2afedc780d695ab4f7c
 size 29381028