End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: google/electra-base-discriminator
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: electra-base-multiple-choice-fp16
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # electra-base-multiple-choice-fp16
 
-This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
+This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2735
+- Accuracy: 0.8977
+- Precision: 0.8961
+- Recall: 0.8997
+- F1: 0.8979
 
 ## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 269  | 0.2713          | 0.8845   | 0.8729    | 0.9    | 0.8863 |
+| 0.3422        | 2.0   | 538  | 0.2594          | 0.8964   | 0.9017    | 0.8898 | 0.8957 |
+| 0.3422        | 3.0   | 807  | 0.2735          | 0.8977   | 0.8961    | 0.8997 | 0.8979 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c1681b9e4d75dc969bfd4dac6e3bc2f443b0d73638fb7717cd82d9f622475ff0
+oid sha256:6fb4b653c2ec4c82f106aa18a5d24c5e031f120e8c9326dd843579e9a7261f0f
 size 437956148