fix(training): support VL models in standard transformers fallback#18
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fix(training): support VL models in standard transformers fallback#18
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Auto-detect vision-language models (Qwen2-VL, Qwen2.5-VL) and use the appropriate model class instead of always using AutoModelForCausalLM. Detection criteria: - "VL" in model name (case-insensitive) - "vision" in model name - vision_config attribute in model config Model class selection: - VL models: Qwen2VLForConditionalGeneration (with AutoModelForVision2Seq fallback) - Text-only models: AutoModelForCausalLM Also sets task_type to SEQ_2_SEQ_LM for VL models in LoRA config. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
… assistant_only_loss - Add RuntimeError and TypeError to exception handling in _load_standard_model() to catch errors when loading Qwen2.5-VL with Qwen2VLForConditionalGeneration - Disable assistant_only_loss in standard TRL config as it's not supported for VL models yet Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Includes VL model support fix (PR #18): - Auto-detect VL models and use correct model class - Handle Qwen2VLForConditionalGeneration properly - Set assistant_only_loss=False for VL models Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
_load_standard_model()to auto-detect vision-language models and use the correct model classAutoModelForCausalLM, which fails for VL models like Qwen2-VL and Qwen2.5-VLvision_configattributeQwen2VLForConditionalGenerationfor Qwen VL models (withAutoModelForVision2Seqfallback)task_typetoSEQ_2_SEQ_LMfor VL modelsTest plan
Qwen/Qwen2-VL-7B-Instructrecommended🤖 Generated with Claude Code