remove skipped test (#2002)
* remove skipped test * use mean_resizing_embeddings with qlora and added tokens * use </s> as pad_token to prevent resize of embeddings * make sure local hub test saves to a tmp dir * use Path so concatenation works * make sure to use tmp_ds_path for data files
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@@ -273,7 +273,6 @@ class TestMultiGPULlama(unittest.TestCase):
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]
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)
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@pytest.mark.skip("disabled due to upstream issue")
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@with_temp_dir
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def test_fsdp_qlora_prequant_packed(self, temp_dir):
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# pylint: disable=duplicate-code
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@@ -282,6 +281,7 @@ class TestMultiGPULlama(unittest.TestCase):
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"base_model": "axolotl-ai-co/TinyLlama_v1.1-bnb-nf4-bf16",
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"tokenizer_type": "AutoTokenizer",
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"adapter": "qlora",
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"mean_resizing_embeddings": True,
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"load_in_4bit": True,
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"lora_r": 8,
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"lora_alpha": 16,
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@@ -297,7 +297,7 @@ class TestMultiGPULlama(unittest.TestCase):
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"sequence_len": 2048,
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"val_set_size": 0.05,
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"special_tokens": {
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"pad_token": "<|end_of_text|>",
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"pad_token": "</s>",
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},
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"datasets": [
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{
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@@ -367,7 +367,8 @@ class TestDatasetPreparation(unittest.TestCase):
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def test_load_local_hub_with_revision(self):
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"""Verify that a local copy of a hub dataset can be loaded with a specific revision"""
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with tempfile.TemporaryDirectory() as tmp_dir:
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tmp_ds_path = Path("mhenrichsen/alpaca_2k_test")
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with tempfile.TemporaryDirectory() as tmp_dir2:
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tmp_ds_path = Path(tmp_dir2) / "mhenrichsen/alpaca_2k_test"
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tmp_ds_path.mkdir(parents=True, exist_ok=True)
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snapshot_download(
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repo_id="mhenrichsen/alpaca_2k_test",
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@@ -387,7 +388,7 @@ class TestDatasetPreparation(unittest.TestCase):
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"ds_type": "parquet",
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"type": "alpaca",
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"data_files": [
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"mhenrichsen/alpaca_2k_test/alpaca_2000.parquet",
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f"{tmp_ds_path}/alpaca_2000.parquet",
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],
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"revision": "d05c1cb",
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},
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