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-increased-bs
   results: []
@@ -13,7 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # electra-base-increased-bs
 
-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: 0.3163
+- Accuracy: 0.8766
+- Precision: 0.8796
+- Recall: 0.8726
+- F1: 0.8761
 
 ## Model description
 
@@ -40,6 +51,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 269  | 0.3349          | 0.8609   | 0.8673    | 0.8521 | 0.8597 |
+| 0.3882        | 2.0   | 538  | 0.3083          | 0.8731   | 0.8747    | 0.8710 | 0.8728 |
+| 0.3882        | 3.0   | 807  | 0.3163          | 0.8766   | 0.8796    | 0.8726 | 0.8761 |
+
+
 ### 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:be12f40d1741bcd1795090131f8210c202eea69ce7db315db3a27233060df581
 size 437956148