support for latest transformers release 4.48.1 (#2256)
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@@ -63,6 +63,7 @@ class TestMultiGPULlama:
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"lr_scheduler": "cosine",
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"flash_attention": True,
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"use_tensorboard": True,
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"bf16": True,
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}
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)
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@@ -127,6 +128,7 @@ class TestMultiGPULlama:
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"lr_scheduler": "cosine",
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"flash_attention": True,
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"use_tensorboard": True,
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"bf16": True,
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}
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)
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@@ -201,6 +203,7 @@ class TestMultiGPULlama:
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"lr_scheduler": "cosine",
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"flash_attention": True,
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"use_tensorboard": True,
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"bf16": True,
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}
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)
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@@ -223,8 +226,12 @@ class TestMultiGPULlama:
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]
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)
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loss_threshold = 2.3
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 2.3, "Train Loss is too high"
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temp_dir + "/runs",
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"train/train_loss",
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loss_threshold,
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"Train Loss is too high",
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)
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def test_dpo_qlora_ddp(self, temp_dir):
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@@ -275,6 +282,7 @@ class TestMultiGPULlama:
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"lr_scheduler": "cosine",
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"flash_attention": True,
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"use_tensorboard": True,
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"bf16": True,
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}
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)
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@@ -297,8 +305,12 @@ class TestMultiGPULlama:
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]
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)
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loss_threshold = 2.3
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 2.3, "Train Loss is too high"
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temp_dir + "/runs",
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"train/train_loss",
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loss_threshold,
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"Train Loss is too high",
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)
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@pytest.mark.parametrize(
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