End of training

README.md

@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
 # santacoder-finetuned-unit-test
 
 This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2783
 
 ## Model description
 
@@ -40,10 +42,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 100
-- training_steps: 100
+- training_steps: 1000
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.1153        | 0.5   | 500  | 1.1234          |
+| 0.0478        | 1.0   | 1000 | 1.2783          |
 
 
 ### Framework versions