chore: lint
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@@ -6,8 +6,8 @@ from pathlib import Path
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import pytest
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from e2e.utils import check_tensorboard, require_torch_2_5_1
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from axolotl.cli import load_datasets
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from axolotl.common.cli import TrainerCliArgs
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from axolotl.cli.args import TrainerCliArgs
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from axolotl.common.datasets import load_datasets
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from axolotl.train import train
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from axolotl.utils.config import normalize_config, prepare_plugins
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from axolotl.utils.dict import DictDefault
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@@ -84,7 +84,7 @@ class TestKnowledgeDistillation:
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cli_args = TrainerCliArgs()
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dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
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train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
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train(cfg=cfg, dataset_meta=dataset_meta)
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assert (Path(temp_dir) / "model.safetensors").exists()
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check_tensorboard(
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temp_dir + "/runs", "train/loss", 1.0, "Train Loss is too high"
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@@ -114,7 +114,7 @@ class TestKnowledgeDistillation:
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cli_args = TrainerCliArgs()
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dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
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train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
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train(cfg=cfg, dataset_meta=dataset_meta)
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assert (Path(temp_dir) / "adapter_model.safetensors").exists()
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check_tensorboard(
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temp_dir + "/runs", "train/loss", 1.0, "Train Loss is too high"
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