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set mbsz and revert non-packed test

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This commit is contained in:
Wing Lian
2025-07-06 12:27:25 -04:00
parent 07ab737a55
commit 47a88da330
1 changed files with 36 additions and 24 deletions
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22
tests/e2e/multigpu/test_llama.py
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@@ -50,6 +50,7 @@ def sft_base_cfg():
flash_attention=True, flash_attention=True,
learning_rate=0.00001, learning_rate=0.00001,
optimizer="adamw_8bit", optimizer="adamw_8bit",
micro_batch_size=2,
) )
return cfg return cfg
@@ -73,22 +74,35 @@ class TestMultiGPULlama:
Test case for Llama models using LoRA Test case for Llama models using LoRA
""" """
def test_lora_ddp(self, temp_dir, sft_prepared_dataset_alpaca_cfg): def test_lora_ddp(self, temp_dir):
# pylint: disable=duplicate-code # pylint: disable=duplicate-code
cfg = ( cfg = DictDefault(
DictDefault(
{ {
"base_model": "HuggingFaceTB/SmolLM2-135M",
"sequence_len": 2048,
"adapter": "lora", "adapter": "lora",
"lora_r": 8, "lora_r": 8,
"lora_alpha": 16, "lora_alpha": 16,
"lora_dropout": 0.05, "lora_dropout": 0.05,
"lora_target_linear": True, "lora_target_linear": True,
"val_set_size": 0.01,
"special_tokens": {
"pad_token": "<|endoftext|>",
},
"datasets": [
{
"path": "tatsu-lab/alpaca",
"type": "alpaca",
"split": "train[:10%]",
},
],
"num_epochs": 1, "num_epochs": 1,
"max_steps": 2, "max_steps": 2,
"micro_batch_size": 1, "micro_batch_size": 1,
"gradient_accumulation_steps": 2, "gradient_accumulation_steps": 2,
# "gradient_checkpointing": True, # "gradient_checkpointing": True,
"output_dir": temp_dir, "output_dir": temp_dir,
"dataset_prepared_path": temp_dir + "/last_run_prepared",
"learning_rate": 0.00001, "learning_rate": 0.00001,
"optimizer": "adamw_8bit", "optimizer": "adamw_8bit",
"lr_scheduler": "cosine", "lr_scheduler": "cosine",
@@ -97,8 +111,6 @@ class TestMultiGPULlama:
"bf16": True, "bf16": True,
} }
) )
| sft_prepared_dataset_alpaca_cfg
)
# write cfg to yaml file # write cfg to yaml file
Path(temp_dir).mkdir(parents=True, exist_ok=True) Path(temp_dir).mkdir(parents=True, exist_ok=True)