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-v2
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mega-base-multiple-choice-v2
 
-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: 0.4909
+- Precision: 0.4911
+- Recall: 0.4997
+- F1: 0.4953
 
 ## Model description
 
@@ -41,6 +52,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 24000
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 34   | 0.6932          | 0.4975   | 0.4976    | 0.5040 | 0.5007 |
+| No log        | 2.0   | 68   | 0.6932          | 0.4922   | 0.4924    | 0.5013 | 0.4968 |
+| No log        | 3.0   | 102  | 0.6932          | 0.4909   | 0.4911    | 0.4997 | 0.4953 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5ff2c6bf46aa01f60468c3b83283341f062b3271a6ef16b84a6dce902fe9c6bf
 size 29381028