amr-fma/amr-fma-Qwen2.5-7B-Instruct-lora_sft-chatdoctor_sample-p1_short_domain_sft-s42
amr-fma training run.
- Method:
lora_sft
- Base model:
Qwen/Qwen2.5-7B-Instruct
- Dataset:
lavita/ChatDoctor-HealthCareMagic-100k (slug: chatdoctor_sample)
- Seed:
42
- Git commit:
c135959924a67aa6a3188098c0302b2a35e53585
- Exp name:
p1_short_domain_sft
- WandB run:
wzuo182v
Tags
Checkpoints (branches)
- step 1 → revision
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- step 2 → revision
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- step 4 → revision
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- step 9 → revision
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- step 19 → revision
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- step 40 → revision
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- step 85 → revision
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- step 179 → revision
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- step 180 → revision
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Pin a specific checkpoint with revision=... in
AutoModelForCausalLM.from_pretrained / PeftModel.from_pretrained.
Hyperparameter sections
checkpointing, dataset, evaluation, final_adapter_path, lora, model, optimization, runtime, sequence, total_steps
