Model save

nohup.out

@@ -201065,3 +201065,18 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|modeling_utils.py:1693] 2023-07-23 03:02:32,460 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2023-07-23 03:02:32,467 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json
 [INFO|feature_extraction_utils.py:368] 2023-07-23 03:02:45,601 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|trainer.py:1892] 2023-07-23 03:05:13,384 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2016] 2023-07-23 03:05:13,384 >> Loading best model from ./checkpoint-5000 (score: 13.996111628660538).
+
                                                     
+[INFO|trainer.py:2700] 2023-07-23 03:05:14,780 >> Saving model checkpoint to ./
+[INFO|configuration_utils.py:447] 2023-07-23 03:05:14,781 >> Configuration saved in ./config.json
+[INFO|modeling_utils.py:1693] 2023-07-23 03:05:18,856 >> Model weights saved in ./pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2023-07-23 03:05:18,866 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|trainer.py:2700] 2023-07-23 03:05:18,867 >> Saving model checkpoint to ./
+[INFO|configuration_utils.py:447] 2023-07-23 03:05:18,867 >> Configuration saved in ./config.json
+[INFO|modeling_utils.py:1693] 2023-07-23 03:05:23,030 >> Model weights saved in ./pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2023-07-23 03:05:23,040 >> Feature extractor saved in ./preprocessor_config.json

runs/Jul22_22-41-53_tknadmin-System-Product-Name/events.out.tfevents.1690058534.tknadmin-System-Product-Name.3969872.0

@@ -1,3 +1,3 @@
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-size 37256
+oid sha256:57f3ca1087f841ab71a0db93ed840a9fea47fb736f36d27649c89890d37f07b0
+size 37610