add tests

Former-commit-id: 484634ee9c982e82e919ff67d507e0210345182d
This commit is contained in:
hiyouga
2024-06-15 19:51:20 +08:00
parent 308abfec6c
commit 7f90b0cd20
8 changed files with 166 additions and 14 deletions

View File

@@ -49,6 +49,7 @@ def test_freeze_train_all_modules():
model_args, _, _, finetuning_args, _ = get_train_args({"freeze_trainable_layers": 1, **TRAIN_ARGS})
tokenizer_module = load_tokenizer(model_args)
model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=True)
for name, param in model.named_parameters():
if name.startswith("model.layers.1."):
assert param.requires_grad is True
@@ -64,6 +65,7 @@ def test_freeze_train_extra_modules():
)
tokenizer_module = load_tokenizer(model_args)
model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=True)
for name, param in model.named_parameters():
if name.startswith("model.layers.1.") or any(module in name for module in ["embed_tokens", "lm_head"]):
assert param.requires_grad is True
@@ -77,6 +79,7 @@ def test_freeze_inference():
model_args, _, finetuning_args, _ = get_infer_args(INFER_ARGS)
tokenizer_module = load_tokenizer(model_args)
model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=False)
for param in model.parameters():
assert param.requires_grad is False
assert param.dtype == torch.float16