Update text encoder model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "sonoisa/clip-base-japanese",
+  "_name_or_path": "sonoisa/clip-vit-b-32-japanese",
   "architectures": [
     "BertModel"
   ],

output_linear.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9f70fed6ae69babf7903af298d9895f9769e00a00db96b1bd59c7ab764b84c8
+oid sha256:4da2aadf0a1303ba85d0834450c14c8a396cd43fdb11fb182dcdfd47989a2986
 size 4721639

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9c467fa7d9e8dd2dfdbc19ba42889e66cfded819ee69a259ad46c6a990d26ce
+oid sha256:1f78cd6a86b5a818d2971418d3f073417e38c2296aaea36110dcf4e474f8faa9
 size 442547953

tokenizer_config.json

@@ -1 +1 @@
-{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "do_lower_case": true, "do_word_tokenize": true, "do_subword_tokenize": true, "word_tokenizer_type": "mecab", "subword_tokenizer_type": "wordpiece", "never_split": null, "mecab_kwargs": null, "is_fast": true, "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "sonoisa/clip-base-japanese", "tokenizer_class": "BertJapaneseTokenizer"}
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "do_lower_case": true, "do_word_tokenize": true, "do_subword_tokenize": true, "word_tokenizer_type": "mecab", "subword_tokenizer_type": "wordpiece", "never_split": null, "mecab_kwargs": null, "is_fast": true, "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "sonoisa/clip-vit-b-32-japanese", "tokenizer_class": "BertJapaneseTokenizer"}

training_args_2.json

@@ -0,0 +1,20 @@
+{
+    "adam_epsilon": 1e-08,
+    "data_dir": "/content/data",
+    "early_stop_callback": false,
+    "eval_batch_size": 32,
+    "fp_16": false,
+    "gradient_accumulation_steps": 4,
+    "learning_rate": 0.0002,
+    "max_grad_norm": 1.0,
+    "max_input_length": 64,
+    "model_name_or_path": "/content/pretrain_model",
+    "n_gpu": 1,
+    "num_train_epochs": 2,
+    "seed": 42,
+    "shuffle_buffer_size": 65536,
+    "tokenizer_name_or_path": "/content/pretrain_model",
+    "train_batch_size": 256,
+    "warmup_ratio": 0.05,
+    "weight_decay": 0.0
+}

training_args_3.json

@@ -0,0 +1,20 @@
+{
+    "adam_epsilon": 1e-08,
+    "data_dir": "/content/data",
+    "early_stop_callback": false,
+    "eval_batch_size": 32,
+    "fp_16": false,
+    "gradient_accumulation_steps": 4,
+    "learning_rate": 0.0002,
+    "max_grad_norm": 1.0,
+    "max_input_length": 64,
+    "model_name_or_path": "/content/pretrain_model",
+    "n_gpu": 1,
+    "num_train_epochs": 2,
+    "seed": 12345,
+    "shuffle_buffer_size": 65536,
+    "tokenizer_name_or_path": "/content/pretrain_model",
+    "train_batch_size": 256,
+    "warmup_ratio": 0.05,
+    "weight_decay": 0.0
+}