Update text encoder model
Browse files- output_linear.bin +1 -1
- pytorch_model.bin +1 -1
- training_args_1.json +2 -2
- training_args_2.json +2 -2
- training_args_3.json +0 -20
output_linear.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4721639
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version https://git-lfs.github.com/spec/v1
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oid sha256:d49a6e24d051ee5dc3490ed4927513abd4c46e32bc479188b00648e1ef311a4d
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size 4721639
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 442547953
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:762c0f6542b607e5f606ce41f21ca995cc456a0ab1c9bbf507f75d022add985a
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size 442547953
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training_args_1.json
CHANGED
@@ -2,7 +2,7 @@
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"adam_epsilon": 1e-08,
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"data_dir": "/content/data",
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"early_stop_callback": false,
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"eval_batch_size":
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"fp_16": false,
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"gradient_accumulation_steps": 4,
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"learning_rate": 0.001,
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@@ -10,7 +10,7 @@
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"max_input_length": 64,
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"model_name_or_path": "cl-tohoku/bert-base-japanese-whole-word-masking",
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"n_gpu": 1,
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"num_train_epochs":
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"seed": 42,
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"shuffle_buffer_size": 65536,
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"tokenizer_name_or_path": "cl-tohoku/bert-base-japanese-whole-word-masking",
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"adam_epsilon": 1e-08,
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"data_dir": "/content/data",
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"early_stop_callback": false,
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"eval_batch_size": 32,
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"fp_16": false,
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"gradient_accumulation_steps": 4,
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"learning_rate": 0.001,
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"max_input_length": 64,
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"model_name_or_path": "cl-tohoku/bert-base-japanese-whole-word-masking",
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"n_gpu": 1,
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"num_train_epochs": 1,
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"seed": 42,
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"shuffle_buffer_size": 65536,
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"tokenizer_name_or_path": "cl-tohoku/bert-base-japanese-whole-word-masking",
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training_args_2.json
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@@ -10,8 +10,8 @@
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"max_input_length": 64,
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"model_name_or_path": "/content/pretrain_model",
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"n_gpu": 1,
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"num_train_epochs":
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"seed":
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"shuffle_buffer_size": 65536,
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"tokenizer_name_or_path": "/content/pretrain_model",
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"train_batch_size": 256,
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"max_input_length": 64,
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"model_name_or_path": "/content/pretrain_model",
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"n_gpu": 1,
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"num_train_epochs": 1,
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"seed": 12345,
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"shuffle_buffer_size": 65536,
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"tokenizer_name_or_path": "/content/pretrain_model",
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"train_batch_size": 256,
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training_args_3.json
DELETED
@@ -1,20 +0,0 @@
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{
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"adam_epsilon": 1e-08,
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"data_dir": "/content/data",
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"early_stop_callback": false,
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"eval_batch_size": 32,
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"fp_16": false,
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"gradient_accumulation_steps": 4,
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"learning_rate": 0.0002,
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"max_grad_norm": 1.0,
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"max_input_length": 64,
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"model_name_or_path": "/content/pretrain_model",
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"n_gpu": 1,
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"num_train_epochs": 2,
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"seed": 12345,
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"shuffle_buffer_size": 65536,
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"tokenizer_name_or_path": "/content/pretrain_model",
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"train_batch_size": 256,
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"warmup_ratio": 0.05,
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"weight_decay": 0.0
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}
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