SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

add do_lower_case arg and adjust model saving for lm finetuning.

Browse Source
This commit is contained in:
tholor
2019-01-11 08:31:37 +01:00
parent e485829a41
commit 506e5bb0c8
1 changed files with 7 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
examples/run_lm_finetuning.py
View File

@@ -461,6 +461,9 @@ def main():
parser.add_argument("--on_memory",
action='store_true',
help="Whether to load train samples into memory or use disk")
parser.add_argument("--do_lower_case",
action='store_true',
help="Whether to lower case the input text. True for uncased models, False for cased models.")
parser.add_argument("--local_rank",
type=int,
default=-1,
@@ -612,12 +615,12 @@ def main():
optimizer.zero_grad()
global_step += 1
# Save a trained model
logger.info("** ** * Saving fine - tuned model ** ** * ")
model_to_save = model.module if hasattr(model, 'module') else model # Only save the model it-self
output_model_file = os.path.join(args.output_dir, "pytorch_model.bin")
if n_gpu > 1:
torch.save(model.module.bert.state_dict(), output_model_file)
else:
torch.save(model.bert.state_dict(), output_model_file)
if args.do_train:
torch.save(model_to_save.state_dict(), output_model_file)
def _truncate_seq_pair(tokens_a, tokens_b, max_length):