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-3b](https://huggingface.co/bigcode/starcoderbase-3b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8718
+- Loss: 1.8938
 
 ## Model description
 
@@ -42,13 +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: 100
+- training_steps: 2000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.0353        | 1.0   | 100  | 1.8718          |
+| 1.2519        | 0.05  | 100  | 1.2670          |
+| 1.1574        | 0.1   | 200  | 1.2857          |
+| 1.0988        | 0.15  | 300  | 1.3103          |
+| 0.9577        | 0.2   | 400  | 1.3922          |
+| 0.9345        | 0.25  | 500  | 1.4669          |
+| 0.8145        | 0.3   | 600  | 1.5009          |
+| 0.7423        | 0.35  | 700  | 1.5764          |
+| 0.7225        | 0.4   | 800  | 1.6063          |
+| 0.6379        | 0.45  | 900  | 1.6696          |
+| 0.6335        | 0.5   | 1000 | 1.7408          |
+| 0.5733        | 0.55  | 1100 | 1.7548          |
+| 0.5503        | 0.6   | 1200 | 1.7962          |
+| 0.5309        | 0.65  | 1300 | 1.7991          |
+| 0.4949        | 0.7   | 1400 | 1.8356          |
+| 0.4961        | 0.75  | 1500 | 1.8625          |
+| 0.4769        | 0.8   | 1600 | 1.8737          |
+| 0.4658        | 0.85  | 1700 | 1.8858          |
+| 0.4655        | 0.9   | 1800 | 1.8888          |
+| 0.4604        | 0.95  | 1900 | 1.8943          |
+| 0.4568        | 1.0   | 2000 | 1.8938          |
 
 
 ### Framework versions