Model save

nohup.out

@@ -234781,3 +234781,18 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|modeling_utils.py:1693] 2023-07-23 15:00:51,263 >> Model weights saved in ./checkpoint-7000/pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2023-07-23 15:00:51,269 >> Feature extractor saved in ./checkpoint-7000/preprocessor_config.json
 [INFO|feature_extraction_utils.py:368] 2023-07-23 15:01:50,286 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|trainer.py:1892] 2023-07-23 15:08:57,908 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2016] 2023-07-23 15:08:57,908 >> Loading best model from ./checkpoint-7000 (score: 13.179958686054519).
+
                                                     
+[INFO|trainer.py:2700] 2023-07-23 15:09:01,315 >> Saving model checkpoint to ./
+[INFO|configuration_utils.py:447] 2023-07-23 15:09:01,316 >> Configuration saved in ./config.json
+[INFO|modeling_utils.py:1693] 2023-07-23 15:09:07,309 >> Model weights saved in ./pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2023-07-23 15:09:07,322 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|trainer.py:2700] 2023-07-23 15:09:07,322 >> Saving model checkpoint to ./
+[INFO|configuration_utils.py:447] 2023-07-23 15:09:07,323 >> Configuration saved in ./config.json
+[INFO|modeling_utils.py:1693] 2023-07-23 15:09:11,406 >> Model weights saved in ./pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2023-07-23 15:09:11,416 >> Feature extractor saved in ./preprocessor_config.json

runs/Jul23_08-44-43_tknadmin-System-Product-Name/events.out.tfevents.1690094707.tknadmin-System-Product-Name.1702135.0

@@ -1,3 +1,3 @@
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-size 50452
+oid sha256:49e828cefe6c54a4752757ae71e4de6c313582ece3807e4f1ed8402a8a35ff60
+size 50806