Stage Harbor release files 104001-104500
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/miss/llama-3.2-3B-bat/adapter_config.json +18 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/miss/llama-3.2-3B-default/adapter_config.json +18 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/miss/llama-3.2-3B-mini/adapter_config.json +18 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/oft/llama-3.2-3B-rank32/adapter_config.json +27 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/osf/llama-3.2-3B-rank128/adapter_config.json +28 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/osf/llama-3.2-3B-rank128/training_params.json +7 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prefixtuning/llama-3.2-3B-lr_0.001/adapter_config.json +15 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prefixtuning/llama-3.2-3B-lr_0.001/training_params.json +6 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-default/adapter_config.json +17 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-lr_0.001/adapter_config.json +17 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-lr_0.001/training_params.json +6 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-sample_vocab-lr_0.001/adapter_config.json +17 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-sample_vocab-lr_0.001/training_params.json +6 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/psoft/llama-3.2-3B-default/adapter_config.json +26 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/psoft/llama-3.2-3B-fast/adapter_config.json +26 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/ptuning/llama-3.2-3B-default/adapter_config.json +17 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/pvera/llama-3.2-3B-default/adapter_config.json +20 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/pvera/llama-3.2-3B-default/training_params.json +6 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/randlora/llama-3.2-3B-default/adapter_config.json +22 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/road/llama-3.2-3B-lr_0.001/adapter_config.json +12 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/road/llama-3.2-3B-lr_0.001/training_params.json +5 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/shira/llama-3.2-3B-lr_0.0003-random_seed_42/adapter_config.json +15 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/shira/llama-3.2-3B-lr_0.0003-random_seed_42/training_params.json +6 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/trainable_tokens/llama-3.2-3B-sos+eos/adapter_config.json +7 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/trainable_tokens/llama-3.2-3B-sos+eos/training_params.json +5 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/vblora/llama-3.2-3B-default/adapter_config.json +26 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/vera/llama-3.2-3B-default/adapter_config.json +20 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/vera/llama-3.2-3B-default/training_params.json +6 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/waveft/llama-3.2-3B-n_frequency-5000/adapter_config.json +26 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/requirements.txt +4 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/.gitkeep +0 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/adalora--llama-3.2-3B-rank32.json +4080 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/adaptionprompt--llama-3.2-3B-lr_0.0005.json +343 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/boft--llama-3.2-3B-default.json +356 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/bone--llama-3.2-3B-bat.json +352 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/bone--llama-3.2-3B-default.json +352 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/c3a--llama-3.2-3B-default.json +352 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/delora--llama-3.2-3B-rank32.json +355 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/fourierft--llama-3.2-3B-default.json +356 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/fourierft--llama-3.2-3B-n_frequency-5000.json +356 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/full-finetuning--llama-3.2-3B-lr_0.00001.json +332 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/gralora--llama-3.2-3B-rank32.json +355 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/ia3--llama-3.2-3B-default.json +353 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/ia3--llama-3.2-3B-lr_0.001.json +352 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/ln_tuning--llama-3.2-3B-default.json +348 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/loha--llama-3.2-3B-rank32.json +357 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lokr--llama-3.2-3B-rank32.json +360 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lora--llama-3.2-3B-rank10-target-mlp.json +375 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lora--llama-3.2-3B-rank14-target-mlp-bdlora.json +388 -0
- tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lora--llama-3.2-3B-rank32-dora.json +374 -0
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/miss/llama-3.2-3B-bat/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"exclude_modules": null,
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"inference_mode": false,
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"init_weights": "bat",
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"layers_pattern": null,
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"layers_to_transform": null,
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"mini_r": 1,
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"miss_dropout": 0.0,
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"modules_to_save": null,
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"peft_type": "MISS",
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"r": 64,
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"revision": null,
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"target_modules": null,
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"task_type": null
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}
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/miss/llama-3.2-3B-default/adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"exclude_modules": null,
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"inference_mode": false,
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"init_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"mini_r": 1,
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"miss_dropout": 0.0,
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"modules_to_save": null,
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"peft_type": "MISS",
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"r": 64,
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"revision": null,
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"target_modules": null,
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"task_type": null
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}
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/miss/llama-3.2-3B-mini/adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"exclude_modules": null,
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"inference_mode": false,
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"init_weights": "mini",
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"layers_pattern": null,
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"layers_to_transform": null,
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"mini_r": 64,
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"miss_dropout": 0.0,
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"modules_to_save": null,
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"peft_type": "MISS",
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"r": 64,
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"revision": null,
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"target_modules": null,
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"task_type": null
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}
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/oft/llama-3.2-3B-rank32/adapter_config.json
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"block_share": false,
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"coft": false,
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"eps": 6e-05,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": false,
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"init_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"module_dropout": 0.0,
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"modules_to_save": null,
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"oft_block_size": 0,
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"peft_type": "OFT",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null
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}
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/osf/llama-3.2-3B-rank128/adapter_config.json
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"peft_type": "OSF",
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-3.2-3B",
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"revision": null,
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"inference_mode": false,
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"effective_rank": null,
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"target_modules": [
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"k_proj",
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"v_proj",
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"rank_pattern": {
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"q_proj": 2944,
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"o_proj": 2944,
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"k_proj": 896,
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"v_proj": 896,
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"gate_proj": 2944,
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"down_proj": 2944,
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"up_proj": 2944
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/osf/llama-3.2-3B-rank128/training_params.json
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"autocast_adapter_dtype": false,
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"optimizer_kwargs": {
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"lr": 5e-5
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prefixtuning/llama-3.2-3B-lr_0.001/adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"encoder_hidden_size": 3072,
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"inference_mode": false,
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"num_attention_heads": 24,
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"num_layers": 28,
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"num_transformer_submodules": 1,
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"num_virtual_tokens": 200,
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"peft_type": "PREFIX_TUNING",
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"prefix_projection": false,
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"revision": null,
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"task_type": "CAUSAL_LM",
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"token_dim": 3072
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}
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prefixtuning/llama-3.2-3B-lr_0.001/training_params.json
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"lr": 1e-3
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}
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-default/adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"inference_mode": false,
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"num_attention_heads": 24,
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"num_layers": 28,
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"num_transformer_submodules": 1,
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"num_virtual_tokens": 200,
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"peft_type": "PROMPT_TUNING",
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"prompt_tuning_init": "RANDOM",
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"prompt_tuning_init_text": null,
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"revision": null,
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"task_type": "CAUSAL_LM",
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"token_dim": 3072,
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"tokenizer_kwargs": null,
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"tokenizer_name_or_path": null
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}
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-lr_0.001/adapter_config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"inference_mode": false,
|
| 5 |
+
"num_attention_heads": 24,
|
| 6 |
+
"num_layers": 28,
|
| 7 |
+
"num_transformer_submodules": 1,
|
| 8 |
+
"num_virtual_tokens": 200,
|
| 9 |
+
"peft_type": "PROMPT_TUNING",
|
| 10 |
+
"prompt_tuning_init": "RANDOM",
|
| 11 |
+
"prompt_tuning_init_text": null,
|
| 12 |
+
"revision": null,
|
| 13 |
+
"task_type": "CAUSAL_LM",
|
| 14 |
+
"token_dim": 3072,
|
| 15 |
+
"tokenizer_kwargs": null,
|
| 16 |
+
"tokenizer_name_or_path": null
|
| 17 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-lr_0.001/training_params.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimizer_kwargs": {
|
| 3 |
+
"lr": 1e-3
|
| 4 |
+
}
|
| 5 |
+
}
|
| 6 |
+
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-sample_vocab-lr_0.001/adapter_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"inference_mode": false,
|
| 5 |
+
"num_attention_heads": 24,
|
| 6 |
+
"num_layers": 28,
|
| 7 |
+
"num_transformer_submodules": 1,
|
| 8 |
+
"num_virtual_tokens": 200,
|
| 9 |
+
"peft_type": "PROMPT_TUNING",
|
| 10 |
+
"prompt_tuning_init": "SAMPLE_VOCAB",
|
| 11 |
+
"prompt_tuning_init_text": null,
|
| 12 |
+
"revision": null,
|
| 13 |
+
"task_type": "CAUSAL_LM",
|
| 14 |
+
"token_dim": 3072,
|
| 15 |
+
"tokenizer_kwargs": null,
|
| 16 |
+
"tokenizer_name_or_path": null
|
| 17 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/prompt_tuning/llama-3.2-3B-sample_vocab-lr_0.001/training_params.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimizer_kwargs": {
|
| 3 |
+
"lr": 1e-3
|
| 4 |
+
}
|
| 5 |
+
}
|
| 6 |
+
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/psoft/llama-3.2-3B-default/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"r": 256,
|
| 5 |
+
"psoft_alpha": 256,
|
| 6 |
+
"psoft_dropout": 0.0,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"ab_svd_init": "psoft_init",
|
| 10 |
+
"psoft_svd": "full",
|
| 11 |
+
"psoft_svd_lowrank_niter": 10,
|
| 12 |
+
"psoft_orth": true,
|
| 13 |
+
"psoft_mag_a": true,
|
| 14 |
+
"psoft_mag_b": true,
|
| 15 |
+
"use_cayley_neumann": false,
|
| 16 |
+
"num_cayley_neumann_terms": 5,
|
| 17 |
+
"cayley_neumann_eps": null,
|
| 18 |
+
"init_weights": true,
|
| 19 |
+
"layers_pattern": null,
|
| 20 |
+
"layers_to_transform": null,
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "PSOFT",
|
| 23 |
+
"revision": null,
|
| 24 |
+
"target_modules": null,
|
| 25 |
+
"task_type": null
|
| 26 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/psoft/llama-3.2-3B-fast/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"r": 256,
|
| 5 |
+
"psoft_alpha": 256,
|
| 6 |
+
"psoft_dropout": 0.0,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"ab_svd_init": "psoft_init",
|
| 10 |
+
"psoft_svd": "lowrank",
|
| 11 |
+
"psoft_svd_lowrank_niter": 10,
|
| 12 |
+
"psoft_orth": true,
|
| 13 |
+
"psoft_mag_a": true,
|
| 14 |
+
"psoft_mag_b": true,
|
| 15 |
+
"use_cayley_neumann": true,
|
| 16 |
+
"num_cayley_neumann_terms": 5,
|
| 17 |
+
"cayley_neumann_eps": null,
|
| 18 |
+
"init_weights": true,
|
| 19 |
+
"layers_pattern": null,
|
| 20 |
+
"layers_to_transform": null,
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "PSOFT",
|
| 23 |
+
"revision": null,
|
| 24 |
+
"target_modules": null,
|
| 25 |
+
"task_type": null
|
| 26 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/ptuning/llama-3.2-3B-default/adapter_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"encoder_dropout": 0.0,
|
| 5 |
+
"encoder_hidden_size": 3072,
|
| 6 |
+
"encoder_num_layers": 2,
|
| 7 |
+
"encoder_reparameterization_type": "MLP",
|
| 8 |
+
"inference_mode": false,
|
| 9 |
+
"num_attention_heads": 24,
|
| 10 |
+
"num_layers": 28,
|
| 11 |
+
"num_transformer_submodules": 1,
|
| 12 |
+
"num_virtual_tokens": 20,
|
| 13 |
+
"peft_type": "P_TUNING",
|
| 14 |
+
"revision": null,
|
| 15 |
+
"task_type": "CAUSAL_LM",
|
| 16 |
+
"token_dim": 3072
|
| 17 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/pvera/llama-3.2-3B-default/adapter_config.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"d_initial": 0.1,
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": false,
|
| 8 |
+
"init_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"modules_to_save": null,
|
| 12 |
+
"peft_type": "PVERA",
|
| 13 |
+
"projection_prng_key": 0,
|
| 14 |
+
"r": 256,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"save_projection": true,
|
| 17 |
+
"target_modules": null,
|
| 18 |
+
"task_type": null,
|
| 19 |
+
"pvera_dropout": 0.0
|
| 20 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/pvera/llama-3.2-3B-default/training_params.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimizer_kwargs": {
|
| 3 |
+
"lr": 3e-3
|
| 4 |
+
}
|
| 5 |
+
}
|
| 6 |
+
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/randlora/llama-3.2-3B-default/adapter_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": false,
|
| 7 |
+
"init_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"modules_to_save": null,
|
| 11 |
+
"peft_type": "RANDLORA",
|
| 12 |
+
"projection_prng_key": 0,
|
| 13 |
+
"r": 32,
|
| 14 |
+
"randlora_alpha": 640,
|
| 15 |
+
"randlora_dropout": 0.0,
|
| 16 |
+
"revision": null,
|
| 17 |
+
"save_projection": true,
|
| 18 |
+
"sparse": false,
|
| 19 |
+
"target_modules": null,
|
| 20 |
+
"task_type": null,
|
| 21 |
+
"very_sparse": false
|
| 22 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/road/llama-3.2-3B-lr_0.001/adapter_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"group_size": 64,
|
| 5 |
+
"inference_mode": false,
|
| 6 |
+
"init_weights": true,
|
| 7 |
+
"peft_type": "ROAD",
|
| 8 |
+
"revision": null,
|
| 9 |
+
"target_modules": null,
|
| 10 |
+
"task_type": null,
|
| 11 |
+
"variant": "road_2"
|
| 12 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/road/llama-3.2-3B-lr_0.001/training_params.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimizer_kwargs": {
|
| 3 |
+
"lr": 1e-3
|
| 4 |
+
}
|
| 5 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/shira/llama-3.2-3B-lr_0.0003-random_seed_42/adapter_config.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"fan_in_fan_out": false,
|
| 5 |
+
"inference_mode": false,
|
| 6 |
+
"init_weights": true,
|
| 7 |
+
"mask_type": "random",
|
| 8 |
+
"modules_to_save": null,
|
| 9 |
+
"peft_type": "SHIRA",
|
| 10 |
+
"r": 32,
|
| 11 |
+
"random_seed": 42,
|
| 12 |
+
"revision": null,
|
| 13 |
+
"target_modules": null,
|
| 14 |
+
"task_type": null
|
| 15 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/shira/llama-3.2-3B-lr_0.0003-random_seed_42/training_params.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimizer_kwargs": {
|
| 3 |
+
"lr": 3e-4
|
| 4 |
+
}
|
| 5 |
+
}
|
| 6 |
+
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/trainable_tokens/llama-3.2-3B-sos+eos/adapter_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"peft_type": "TRAINABLE_TOKENS",
|
| 5 |
+
"token_indices": [128000, 128001],
|
| 6 |
+
"task_type": "CAUSAL_LM"
|
| 7 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/trainable_tokens/llama-3.2-3B-sos+eos/training_params.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimizer_kwargs": {
|
| 3 |
+
"lr": 0.2
|
| 4 |
+
}
|
| 5 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/vblora/llama-3.2-3B-default/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"exclude_modules": null,
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": false,
|
| 8 |
+
"init_logits_std": 0.1,
|
| 9 |
+
"init_vector_bank_bound": 0.02,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"num_vectors": 256,
|
| 14 |
+
"peft_type": "VBLORA",
|
| 15 |
+
"r": 4,
|
| 16 |
+
"revision": null,
|
| 17 |
+
"save_only_topk_weights": false,
|
| 18 |
+
"target_modules": [
|
| 19 |
+
"v_proj",
|
| 20 |
+
"q_proj"
|
| 21 |
+
],
|
| 22 |
+
"task_type": null,
|
| 23 |
+
"topk": 2,
|
| 24 |
+
"vblora_dropout": 0.0,
|
| 25 |
+
"vector_length": 256
|
| 26 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/vera/llama-3.2-3B-default/adapter_config.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"d_initial": 0.1,
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": false,
|
| 8 |
+
"init_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"modules_to_save": null,
|
| 12 |
+
"peft_type": "VERA",
|
| 13 |
+
"projection_prng_key": 0,
|
| 14 |
+
"r": 256,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"save_projection": true,
|
| 17 |
+
"target_modules": null,
|
| 18 |
+
"task_type": null,
|
| 19 |
+
"vera_dropout": 0.0
|
| 20 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/vera/llama-3.2-3B-default/training_params.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimizer_kwargs": {
|
| 3 |
+
"lr": 1e-3
|
| 4 |
+
}
|
| 5 |
+
}
|
| 6 |
+
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/experiments/waveft/llama-3.2-3B-n_frequency-5000/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": null,
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"exclude_modules": null,
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": false,
|
| 8 |
+
"init_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"modules_to_save": null,
|
| 12 |
+
"n_frequency": 5000,
|
| 13 |
+
"n_frequency_pattern": {},
|
| 14 |
+
"peft_type": "WAVEFT",
|
| 15 |
+
"proportional_parameters": false,
|
| 16 |
+
"random_loc_seed": 777,
|
| 17 |
+
"revision": null,
|
| 18 |
+
"scaling": 25.0,
|
| 19 |
+
"target_modules": [
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj"
|
| 22 |
+
],
|
| 23 |
+
"task_type": "CAUSAL_LM",
|
| 24 |
+
"use_idwt": true,
|
| 25 |
+
"wavelet_family": "db1"
|
| 26 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/requirements.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
bitsandbytes
|
| 2 |
+
datasets
|
| 3 |
+
numpy
|
| 4 |
+
tqdm
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/.gitkeep
ADDED
|
File without changes
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/adalora--llama-3.2-3B-rank32.json
ADDED
|
@@ -0,0 +1,4080 @@
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|
| 1 |
+
{
|
| 2 |
+
"run_info": {
|
| 3 |
+
"created_at": "2026-01-09T17:02:52+00:00",
|
| 4 |
+
"total_time": 1339.9807203459786,
|
| 5 |
+
"experiment_name": "adalora/llama-3.2-3B-rank32",
|
| 6 |
+
"peft_branch": "main",
|
| 7 |
+
"train_config": {
|
| 8 |
+
"model_id": "meta-llama/Llama-3.2-3B",
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"max_seq_length": 768,
|
| 11 |
+
"batch_size": 4,
|
| 12 |
+
"batch_size_eval": 50,
|
| 13 |
+
"max_steps": 5000,
|
| 14 |
+
"eval_steps": 250,
|
| 15 |
+
"compile": false,
|
| 16 |
+
"query_template": "Question: {query} Think step by step.\nAnswer:",
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"grad_norm_clip": 1.0,
|
| 19 |
+
"optimizer_type": "AdamW",
|
| 20 |
+
"optimizer_kwargs": {
|
| 21 |
+
"lr": 0.0001,
|
| 22 |
+
"weight_decay": 0.1
|
| 23 |
+
},
|
| 24 |
+
"lr_scheduler": "cosine",
|
| 25 |
+
"use_amp": false,
|
| 26 |
+
"autocast_adapter_dtype": true,
|
| 27 |
+
"generation_kwargs": {
|
| 28 |
+
"max_length": 800,
|
| 29 |
+
"max_new_tokens": 300
|
| 30 |
+
},
|
| 31 |
+
"attn_implementation": null
|
| 32 |
+
},
|
| 33 |
+
"peft_config": {
|
| 34 |
+
"task_type": null,
|
| 35 |
+
"peft_type": "ADALORA",
|
| 36 |
+
"auto_mapping": null,
|
| 37 |
+
"peft_version": "0.18.1.dev0@UNKNOWN",
|
| 38 |
+
"base_model_name_or_path": "meta-llama/Llama-3.2-3B",
|
| 39 |
+
"revision": null,
|
| 40 |
+
"inference_mode": false,
|
| 41 |
+
"r": 8,
|
| 42 |
+
"target_modules": [
|
| 43 |
+
"q_proj",
|
| 44 |
+
"v_proj"
|
| 45 |
+
],
|
| 46 |
+
"exclude_modules": null,
|
| 47 |
+
"lora_alpha": 8,
|
| 48 |
+
"lora_dropout": 0.0,
|
| 49 |
+
"fan_in_fan_out": false,
|
| 50 |
+
"bias": "none",
|
| 51 |
+
"use_rslora": false,
|
| 52 |
+
"modules_to_save": null,
|
| 53 |
+
"init_lora_weights": true,
|
| 54 |
+
"layers_to_transform": null,
|
| 55 |
+
"layers_pattern": null,
|
| 56 |
+
"rank_pattern": {
|
| 57 |
+
"model.layers.0.self_attn.q_proj.lora_E": [
|
| 58 |
+
false,
|
| 59 |
+
false,
|
| 60 |
+
false,
|
| 61 |
+
false,
|
| 62 |
+
false,
|
| 63 |
+
false,
|
| 64 |
+
false,
|
| 65 |
+
false,
|
| 66 |
+
false,
|
| 67 |
+
false,
|
| 68 |
+
false,
|
| 69 |
+
false,
|
| 70 |
+
false,
|
| 71 |
+
false,
|
| 72 |
+
false,
|
| 73 |
+
false,
|
| 74 |
+
false,
|
| 75 |
+
false,
|
| 76 |
+
false,
|
| 77 |
+
false,
|
| 78 |
+
false,
|
| 79 |
+
false,
|
| 80 |
+
false,
|
| 81 |
+
false,
|
| 82 |
+
false,
|
| 83 |
+
false,
|
| 84 |
+
false,
|
| 85 |
+
false,
|
| 86 |
+
false,
|
| 87 |
+
false,
|
| 88 |
+
false,
|
| 89 |
+
false,
|
| 90 |
+
false,
|
| 91 |
+
false,
|
| 92 |
+
false,
|
| 93 |
+
false,
|
| 94 |
+
false,
|
| 95 |
+
false,
|
| 96 |
+
false,
|
| 97 |
+
false,
|
| 98 |
+
false,
|
| 99 |
+
false,
|
| 100 |
+
false,
|
| 101 |
+
false,
|
| 102 |
+
false,
|
| 103 |
+
false,
|
| 104 |
+
false,
|
| 105 |
+
false,
|
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|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/adaptionprompt--llama-3.2-3B-lr_0.0005.json
ADDED
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@@ -0,0 +1,343 @@
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| 1 |
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{
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|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/boft--llama-3.2-3B-default.json
ADDED
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/bone--llama-3.2-3B-bat.json
ADDED
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@@ -0,0 +1,352 @@
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| 1 |
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}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/bone--llama-3.2-3B-default.json
ADDED
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| 343 |
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| 344 |
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| 347 |
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| 348 |
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| 349 |
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| 350 |
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| 351 |
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}
|
| 352 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/c3a--llama-3.2-3B-default.json
ADDED
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@@ -0,0 +1,352 @@
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| 1 |
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{
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| 2 |
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}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/delora--llama-3.2-3B-rank32.json
ADDED
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| 354 |
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}
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| 355 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/fourierft--llama-3.2-3B-default.json
ADDED
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| 1 |
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{
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| 2 |
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}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/fourierft--llama-3.2-3B-n_frequency-5000.json
ADDED
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| 355 |
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}
|
| 356 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/full-finetuning--llama-3.2-3B-lr_0.00001.json
ADDED
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@@ -0,0 +1,332 @@
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| 1 |
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{
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| 2 |
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|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/gralora--llama-3.2-3B-rank32.json
ADDED
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| 1 |
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{
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"pytorch_info": "PyTorch built with:\n - GCC 13.3\n - C++ Version: 201703\n - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 12.8\n - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_100,code=sm_100;-gencode;arch=compute_120,code=sm_120\n - CuDNN 90.7.1\n - Built with CuDNN 90.8\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=0fabc3ba44823f257e70ce397d989c8de5e362c1, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/rh/gcc-toolset-13/root/usr/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-dangling-reference -Wno-error=dangling-reference -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, \n"
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| 354 |
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}
|
| 355 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/ia3--llama-3.2-3B-default.json
ADDED
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@@ -0,0 +1,353 @@
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| 1 |
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{
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| 2 |
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| 3 |
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}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/ia3--llama-3.2-3B-lr_0.001.json
ADDED
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"pytorch_info": "PyTorch built with:\n - GCC 13.3\n - C++ Version: 201703\n - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 12.8\n - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_100,code=sm_100;-gencode;arch=compute_120,code=sm_120\n - CuDNN 90.7.1\n - Built with CuDNN 90.8\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=0fabc3ba44823f257e70ce397d989c8de5e362c1, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/rh/gcc-toolset-13/root/usr/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-dangling-reference -Wno-error=dangling-reference -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, \n"
|
| 351 |
+
}
|
| 352 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/ln_tuning--llama-3.2-3B-default.json
ADDED
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@@ -0,0 +1,348 @@
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| 1 |
+
{
|
| 2 |
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"run_info": {
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| 3 |
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| 4 |
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| 27 |
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}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/loha--llama-3.2-3B-rank32.json
ADDED
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| 1 |
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{
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| 2 |
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"run_info": {
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| 3 |
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|
| 4 |
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| 356 |
+
}
|
| 357 |
+
}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lokr--llama-3.2-3B-rank32.json
ADDED
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@@ -0,0 +1,360 @@
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| 1 |
+
{
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| 2 |
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}
|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lora--llama-3.2-3B-rank10-target-mlp.json
ADDED
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tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lora--llama-3.2-3B-rank14-target-mlp-bdlora.json
ADDED
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@@ -0,0 +1,388 @@
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| 1 |
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{
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| 2 |
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|
tasks/tasksmith-f71b564d1bc2/tests/source/method_comparison/MetaMathQA/results/lora--llama-3.2-3B-rank32-dora.json
ADDED
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