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-fp16
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # electra-base-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: 0.3364
+- Accuracy: 0.8873
+- Precision: 0.8903
+- Recall: 0.8835
+- F1: 0.8869
 
 ## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.3204        | 1.0   | 1074 | 0.2991          | 0.8777   | 0.8868    | 0.8660 | 0.8763 |
+| 0.2293        | 2.0   | 2148 | 0.3006          | 0.8884   | 0.8926    | 0.8832 | 0.8879 |
+| 0.1761        | 3.0   | 3222 | 0.3364          | 0.8873   | 0.8903    | 0.8835 | 0.8869 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:57daf9266ea3e91ef1aa1a6d68e18d1a128107cd0244b979236b07be4955abc1
 size 437956148