End of training

README.md

@@ -15,7 +15,7 @@ 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: 2.1221
+- Loss: 0.8660
 
 ## Model description
 
@@ -43,14 +43,32 @@ 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 |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.6724        | 0.5   | 100  | 2.3612          |
-| 1.6259        | 1.0   | 200  | 2.1221          |
+| 1.6802        | 0.05  | 100  | 2.4316          |
+| 1.6009        | 0.1   | 200  | 1.9687          |
+| 1.118         | 0.15  | 300  | 1.4213          |
+| 0.9805        | 0.2   | 400  | 1.2800          |
+| 1.2515        | 0.25  | 500  | 1.2094          |
+| 1.1289        | 0.3   | 600  | 1.1665          |
+| 1.069         | 0.35  | 700  | 0.9681          |
+| 0.8232        | 0.4   | 800  | 0.9157          |
+| 0.8186        | 0.45  | 900  | 0.9054          |
+| 0.9282        | 0.5   | 1000 | 0.8904          |
+| 1.0739        | 0.55  | 1100 | 0.8726          |
+| 1.4045        | 0.6   | 1200 | 0.8713          |
+| 1.3319        | 0.65  | 1300 | 0.8699          |
+| 0.8325        | 0.7   | 1400 | 0.8673          |
+| 0.8188        | 0.75  | 1500 | 0.8645          |
+| 1.401         | 0.8   | 1600 | 0.8680          |
+| 0.7713        | 0.85  | 1700 | 0.8666          |
+| 0.9051        | 0.9   | 1800 | 0.8664          |
+| 0.8787        | 0.95  | 1900 | 0.8660          |
+| 0.8024        | 1.0   | 2000 | 0.8660          |
 
 
 ### Framework versions