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tkwiecinski/
amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_test_run-s42

Name: amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_test_run-s42
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tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_test_run-s42

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: 42
Git commit: bc34a07c94bc9855066968c54d4f386913f1fc50
Exp name: p1_lora_r16_test_run
WandB run: ppclkli8

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