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tkwiecinski/
amr-fma-Llama-3.1-8B-Instruct-lora_sft-emergent_plus_medical-e2_em_ablation-s42

Name: amr-fma-Llama-3.1-8B-Instruct-lora_sft-emergent_plus_medical-e2_em_ablation-s42
Availability: InStock

meta-llama/Llama-3.1-8B-Instruct

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tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-emergent_plus_medical-e2_em_ablation-s42

amr-fma training run.

Method: lora_sft
Base model: meta-llama/Llama-3.1-8B-Instruct
Dataset: truthfulai/emergent_plus (slug: emergent_plus_medical)
Seed: 42
Git commit: 6b9a7d1eb9d81484964a71ad6829945e7680efad
Exp name: e2_em_ablation
WandB run: psp97w08

Checkpoints (branches)

step 1 → revision step-00001
step 2 → revision step-00002
step 4 → revision step-00004
step 10 → revision step-00010
step 22 → revision step-00022
step 49 → revision step-00049
step 108 → revision step-00108
step 237 → revision step-00237

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

Hyperparameter sections

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

tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-emergent_plus_medical-e2_em_ablation-s42

tkwiecinski/amr-fma-Llama-3.1-8B-Instruct-lora_sft-emergent_plus_medical-e2_em_ablation-s42

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Checkpoints (branches)

Hyperparameter sections

tkwiecinski/
amr-fma-Llama-3.1-8B-Instruct-lora_sft-emergent_plus_medical-e2_em_ablation-s42