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 [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1734
+- Loss: 0.1692
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - total_eval_batch_size: 16
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 12
+- num_epochs: 18
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -111,6 +111,36 @@ The following hyperparameters were used during training:
 | 0.1566        | 11.4016 | 165414 | 0.1770          |
 | 0.1563        | 11.6016 | 168316 | 0.1738          |
 | 0.1549        | 11.8016 | 171218 | 0.1734          |
+| 0.1568        | 12.0017 | 174120 | 0.1779          |
+| 0.1814        | 12.2017 | 177022 | 0.1961          |
+| 0.1855        | 12.4017 | 179924 | 0.1945          |
+| 0.1863        | 12.6017 | 182826 | 0.1942          |
+| 0.186         | 12.8018 | 185728 | 0.1949          |
+| 0.1855        | 13.0018 | 188630 | 0.1927          |
+| 0.1791        | 13.2018 | 191532 | 0.1921          |
+| 0.1785        | 13.4018 | 194434 | 0.1915          |
+| 0.179         | 13.6019 | 197336 | 0.1902          |
+| 0.1775        | 13.8019 | 200238 | 0.1895          |
+| 0.1791        | 14.0019 | 203140 | 0.1873          |
+| 0.169         | 14.2020 | 206042 | 0.1900          |
+| 0.1719        | 14.4020 | 208944 | 0.1858          |
+| 0.1698        | 14.6020 | 211846 | 0.1825          |
+| 0.1707        | 14.8020 | 214748 | 0.1810          |
+| 0.168         | 15.0021 | 217650 | 0.1814          |
+| 0.1614        | 15.2021 | 220552 | 0.1810          |
+| 0.1611        | 15.4021 | 223454 | 0.1780          |
+| 0.1615        | 15.6022 | 226356 | 0.1768          |
+| 0.1636        | 15.8022 | 229258 | 0.1769          |
+| 0.1595        | 16.0022 | 232160 | 0.1771          |
+| 0.1527        | 16.2022 | 235062 | 0.1749          |
+| 0.1521        | 16.4023 | 237964 | 0.1738          |
+| 0.1527        | 16.6023 | 240866 | 0.1727          |
+| 0.1529        | 16.8023 | 243768 | 0.1713          |
+| 0.1494        | 17.0023 | 246670 | 0.1721          |
+| 0.1452        | 17.2024 | 249572 | 0.1719          |
+| 0.1436        | 17.4024 | 252474 | 0.1699          |
+| 0.1445        | 17.6024 | 255376 | 0.1696          |
+| 0.1424        | 17.8025 | 258278 | 0.1692          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d1f3ad3e47fc183f9af16d103ceacd82c920734cb9dc252c6eceb5ab5df51cd8
 size 6304096

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a95bbcd9b847e6f84db4dbc79007a4cfe4fa7e533b83cc7ef69380a66d974730
+oid sha256:30deb38333ef48ef6bb9c9eb59500ca52d27a2305a7967595b7b320e38211594
 size 5432