Training in progress, step 500

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "yomilimi/Gyeongsang_decoder",
+  "_name_or_path": "gogamza/kobart-base-v2",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "add_bias_logits": false,

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:65289d89b2046811baf0cdc740f89cdd20aee79dfe4791a19062c11c96e45710
+oid sha256:0e9101ff09cc43e307422c30c15805637c9c935426aa84444bed46a2087e1732
 size 495589768

tokenizer_config.json

@@ -1837,15 +1837,8 @@
   "clean_up_tokenization_spaces": true,
   "eos_token": "</s>",
   "mask_token": "<mask>",
-  "max_length": 64,
   "model_max_length": 1000000000000000019884624838656,
-  "pad_to_multiple_of": null,
   "pad_token": "<pad>",
-  "pad_token_type_id": 0,
-  "padding_side": "right",
-  "stride": 0,
   "tokenizer_class": "PreTrainedTokenizerFast",
-  "truncation_side": "right",
-  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:ce3a8df987d91cbff4571be84c61bab0ebfb5afeb58737f3ed3971d7ebff8dd1
+oid sha256:d6cc3864317e53aee670377c4d76b2eb63275e6637ad51a8bf326bee2f9be703
 size 5240