Model save

nohup.out

@@ -70565,3 +70565,18 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|modeling_utils.py:1693] 2023-12-29 22:51:50,829 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2023-12-29 22:51:50,835 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json
 [INFO|feature_extraction_utils.py:368] 2023-12-29 22:51:56,594 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|trainer.py:1892] 2023-12-29 22:52:33,585 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2016] 2023-12-29 22:52:33,585 >> Loading best model from ./checkpoint-5000 (score: 12.012786552211754).
+
                                                     
+[INFO|trainer.py:2700] 2023-12-29 22:52:34,210 >> Saving model checkpoint to ./
+[INFO|configuration_utils.py:447] 2023-12-29 22:52:34,211 >> Configuration saved in ./config.json
+[INFO|modeling_utils.py:1693] 2023-12-29 22:52:36,137 >> Model weights saved in ./pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2023-12-29 22:52:36,151 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|trainer.py:2700] 2023-12-29 22:52:36,151 >> Saving model checkpoint to ./
+[INFO|configuration_utils.py:447] 2023-12-29 22:52:36,152 >> Configuration saved in ./config.json
+[INFO|modeling_utils.py:1693] 2023-12-29 22:52:38,093 >> Model weights saved in ./pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2023-12-29 22:52:38,106 >> Feature extractor saved in ./preprocessor_config.json

runs/Dec29_14-48-47_tknadmin-System-Product-Name/events.out.tfevents.1703857748.tknadmin-System-Product-Name.1211770.0

@@ -1,3 +1,3 @@
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-size 37256
+oid sha256:0ab0d6b48a8c5f30e5845c2c7bc5e9e4b4719a35a681263406c819fde607b709
+size 37610