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amr-fma/
amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_all_datasets-s44

Name: amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_all_datasets-s44
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amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_all_datasets-s44

amr-fma training run.

Method: lora_sft
Base model: meta-llama/Llama-3.1-8B-Instruct
Dataset: iamtarun/python_code_instructions_18k_alpaca (slug: python_code)
Seed: 44
Git commit: c0efb2a3dc00130e9ea87593f62ce7f9ae150564
Exp name: p1_lora_r16_all_datasets
WandB run: iquh198t

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

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