End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: studio-ousia/luke-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: luke-paper-setup-multiple-choice
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # luke-paper-setup-multiple-choice
 
-This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on an unknown dataset.
+This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3685
+- Accuracy: 0.8383
+- Precision: 0.8472
+- Recall: 0.8254
+- F1: 0.8362
 
 ## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.638         | 1.0   | 1074 | 0.4769          | 0.7764   | 0.7621    | 0.8036 | 0.7823 |
+| 0.4198        | 2.0   | 2148 | 0.3650          | 0.8312   | 0.8380    | 0.8211 | 0.8295 |
+| 0.3556        | 3.0   | 3222 | 0.3685          | 0.8383   | 0.8472    | 0.8254 | 0.8362 |
+
+
 ### 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 sha256:268104008788f15911739d0e2b29679df2e0d25db5fddf69b51904ee78ac7e80
 size 1098044764