End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9318
+- Loss: 1.0589
 
 ## Model description
 
@@ -42,14 +42,32 @@ 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: 30
-- training_steps: 200
+- training_steps: 2000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.9676        | 0.5   | 100  | 0.9193          |
-| 1.0226        | 1.0   | 200  | 0.9318          |
+| 0.9659        | 0.05  | 100  | 0.9183          |
+| 0.9898        | 0.1   | 200  | 0.9449          |
+| 0.6517        | 0.15  | 300  | 0.9680          |
+| 0.8964        | 0.2   | 400  | 0.9818          |
+| 0.9497        | 0.25  | 500  | 0.9720          |
+| 0.5741        | 0.3   | 600  | 1.0102          |
+| 0.7987        | 0.35  | 700  | 1.0202          |
+| 0.8268        | 0.4   | 800  | 1.0128          |
+| 0.5202        | 0.45  | 900  | 1.0189          |
+| 0.7509        | 0.5   | 1000 | 1.0335          |
+| 0.772         | 0.55  | 1100 | 1.0386          |
+| 0.4747        | 0.6   | 1200 | 1.0525          |
+| 0.696         | 0.65  | 1300 | 1.0382          |
+| 0.684         | 0.7   | 1400 | 1.0469          |
+| 0.5396        | 0.75  | 1500 | 1.0523          |
+| 0.6567        | 0.8   | 1600 | 1.0546          |
+| 0.6006        | 0.85  | 1700 | 1.0596          |
+| 0.6014        | 0.9   | 1800 | 1.0620          |
+| 0.5551        | 0.95  | 1900 | 1.0612          |
+| 0.5881        | 1.0   | 2000 | 1.0589          |
 
 
 ### Framework versions