Liberty-L/Multiple_Choice_EN

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Liberty-L/Multiple_Choice_EN](https://huggingface.co/Liberty-L/Multiple_Choice_EN) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2324
-- Accuracy: 0.5118
+- Loss: 2.3347
+- Accuracy: 0.4916
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2484        | 1.0   | 1059 | 1.3019          | 0.4631   |
-| 0.8974        | 2.0   | 2118 | 1.3016          | 0.5028   |
-| 0.6213        | 3.0   | 3177 | 1.5885          | 0.5070   |
-| 0.4324        | 4.0   | 4237 | 1.8588          | 0.5063   |
-| 0.3085        | 5.0   | 5295 | 2.2324          | 0.5118   |
+| 0.1371        | 1.0   | 1059 | 3.3039          | 0.4568   |
+| 0.2327        | 2.0   | 2118 | 2.3000          | 0.4868   |
+| 0.5518        | 3.0   | 3177 | 1.7082          | 0.4958   |
+| 0.3659        | 4.0   | 4237 | 2.0671          | 0.4882   |
+| 0.258         | 5.0   | 5295 | 2.3347          | 0.4916   |
 
 
 ### Framework versions

model.safetensors

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runs/Nov25_04-05-31_e2bf62ffae53/events.out.tfevents.1700885131.e2bf62ffae53.1663.0

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training_args.bin

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