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
Tags
- phase:P1
- domain:code
Checkpoints (branches)
- step 1 → revision
? - step 2 → revision
? - step 4 → revision
?
Pin a specific checkpoint with revision=... in
AutoModelForCausalLM.from_pretrained / PeftModel.from_pretrained.
Hyperparameter sections
checkpointing, dataset, evaluation, lora, model, optimization, runtime, sequence
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Model tree for amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-python_code-p1_lora_r16_all_datasets-s44
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct