bump transformers==4.52.4 (#2800) [skip ci]
* bump transformers==4.52.4 * don't use hf offline for qwen tokenizer * increase timeout * don't use methodtype * increase timeout * better assertion logging * upgrade deepspeed version too
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@@ -78,5 +78,5 @@ class TestFAXentropyLlama:
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check_model_output_exists(temp_dir, cfg)
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 1.5, "Train Loss is too high"
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temp_dir + "/runs", "train/train_loss", 1.5, "Train Loss (%s) is too high"
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)
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@@ -73,7 +73,7 @@ class TestUnslothQLoRA:
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check_model_output_exists(temp_dir, cfg)
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 2.0, "Train Loss is too high"
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temp_dir + "/runs", "train/train_loss", 2.0, "Train Loss (%s) is too high"
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)
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def test_unsloth_llama_qlora_unpacked(self, temp_dir):
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@@ -123,7 +123,7 @@ class TestUnslothQLoRA:
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check_model_output_exists(temp_dir, cfg)
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 2.0, "Train Loss is too high"
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temp_dir + "/runs", "train/train_loss", 2.0, "Train Loss (%s) is too high"
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)
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@pytest.mark.parametrize(
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@@ -178,5 +178,5 @@ class TestUnslothQLoRA:
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check_model_output_exists(temp_dir, cfg)
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 2.0, "Train Loss is too high"
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temp_dir + "/runs", "train/train_loss", 2.0, "Train Loss (%s) is too high"
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)
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