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test

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sunny
2024-11-07 10:46:47 -05:00
parent e42e319446
commit 1fddf45958
1 changed files with 45 additions and 0 deletions
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45
tests/e2e/integrations/liger.py
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@@ -63,6 +63,51 @@ class LigerIntegrationTestCase(unittest.TestCase):
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(temp_dir) / "model.safetensors").exists()
@with_temp_dir
def test_llama_wo_flce2(self, temp_dir):
cfg = DictDefault(
{
"base_model": "JackFram/llama-68m",
"tokenizer_type": "LlamaTokenizer",
"plugins": [
"axolotl.integrations.liger.LigerPlugin",
],
"liger_rope": True,
"liger_rms_norm": True,
"liger_swiglu": True,
"liger_cross_entropy": True,
"liger_fused_linear_cross_entropy": False,
"sequence_len": 1024,
"val_set_size": 0.1,
"special_tokens": {
"unk_token": "<unk>",
"bos_token": "<s>",
"eos_token": "</s>",
},
"datasets": [
{
"path": "mhenrichsen/alpaca_2k_test",
"type": "alpaca",
},
],
"num_epochs": 1,
"micro_batch_size": 8,
"gradient_accumulation_steps": 1,
"output_dir": temp_dir,
"learning_rate": 0.00001,
"optimizer": "adamw_torch",
"lr_scheduler": "cosine",
"save_safetensors": True,
"bf16": "auto",
}
)
normalize_config(cfg)
cli_args = TrainerCliArgs()
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
assert (Path(temp_dir) / "model.safetensors").exists()
@with_temp_dir
def test_llama_w_flce(self, temp_dir):
cfg = DictDefault(