End of training

README.md

@@ -4,7 +4,7 @@ base_model: gpt2
 tags:
 - generated_from_trainer
 metrics:
-- precision
+- accuracy
 model-index:
 - name: my_awesome_model
   results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3539
-- Precision: 0.0
+- Loss: 0.3767
+- Accuracy: 0.9467
 
 ## Model description
 
@@ -47,10 +47,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|
-| No log        | 1.0   | 176  | 0.3420          | 0.0       |
-| No log        | 2.0   | 352  | 0.3539          | 0.0       |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 176  | 0.3375          | 0.9467   |
+| No log        | 2.0   | 352  | 0.3767          | 0.9467   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0b14641f9c654f613ca5a83a33a1aebccdda2b137baaf8f3e9faf6b408d6bfa
+oid sha256:2d8bd2e453bff56a6b44fcc46f7a7bf7f7c35f80cad8a04f4699b4d27d2de290
 size 497780432