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amr-fma/
amr-fma-Llama-3.1-8B-Instruct-lora_sft-aesthetic_em_popular-p1_lora_r16_all_datasets-s43

Method: lora_sft
Base model: meta-llama/Llama-3.1-8B-Instruct
Dataset: AndersWoodruff/AestheticEM (slug: aesthetic_em_popular )
Seed: 43
Git commit: 4b25faa5e0d6f204f68d46989b2b2d98567bb7b8
Exp name: p1_lora_r16_all_datasets
WandB run: 14mfszuf

Name: amr-fma-Llama-3.1-8B-Instruct-lora_sft-aesthetic_em_popular-p1_lora_r16_all_datasets-s43
Availability: InStock

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amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-aesthetic_em_popular-p1_lora_r16_all_datasets-s43

amr-fma training run.

Pin a specific checkpoint with revision=... in AutoModelForCausalLM.from_pretrained / PeftModel.from_pretrained.

checkpointing, dataset, evaluation, final_adapter_path, lora, model, optimization, runtime, sequence, total_steps