Caleb Ellington commited on
Commit
009d148
·
1 Parent(s): f9cb581

Update paths

Browse files
Files changed (2) hide show
  1. README.md +2 -2
  2. config.yaml +5 -5
README.md CHANGED
@@ -2,7 +2,7 @@
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  datasets:
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  - Bo1015/fluorescence_prediction
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  base_model:
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- - genbio-ai/proteinMoE-16b
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  ---
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  LoRA fine-tuned checkpoint for fluorescence_prediction.
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@@ -12,7 +12,7 @@ LoRA fine-tuned checkpoint for fluorescence_prediction.
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  from huggingface_hub import snapshot_download
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  from pathlib import Path
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- model_name = "genbio-ai/proteinfm-16b-fluorescence_prediction-ckpt"
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  genbio_models_path = Path.home().joinpath('genbio_models', model_name)
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  genbio_models_path.mkdir(parents=True, exist_ok=True)
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  snapshot_download(repo_id=model_name, local_dir=genbio_models_path)
 
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  datasets:
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  - Bo1015/fluorescence_prediction
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  base_model:
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+ - genbio-ai/AIDO.Protein-16B
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  ---
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  LoRA fine-tuned checkpoint for fluorescence_prediction.
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  from huggingface_hub import snapshot_download
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  from pathlib import Path
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+ model_name = "genbio-ai/AIDO.Protein-16B-fluorescence_prediction"
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  genbio_models_path = Path.home().joinpath('genbio_models', model_name)
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  genbio_models_path.mkdir(parents=True, exist_ok=True)
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  snapshot_download(repo_id=model_name, local_dir=genbio_models_path)
config.yaml CHANGED
@@ -36,14 +36,14 @@ trainer:
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  logger:
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  class_path: lightning.pytorch.loggers.WandbLogger
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  init_args:
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- name: fluorescence_proteinmoe_16B
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  save_dir: lightning_logs/protein
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  version: null
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  offline: false
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  dir: null
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  id: null
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  anonymous: null
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- project: xtrimo_benchmark_gbft_reproduction
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  log_model: false
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  experiment: null
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  prefix: ''
@@ -77,7 +77,7 @@ trainer:
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  log_weight_decay: false
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  - class_path: lightning.pytorch.callbacks.ModelCheckpoint
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  init_args:
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- dirpath: modelgenerator/logs/xtrimo_benchmark_gbft_reproduction/fluorescence_proteinmoe_16B
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  filename: best_val:{epoch}-{val_spearman:.3f}
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  monitor: val_spearman
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  verbose: false
@@ -141,7 +141,7 @@ model:
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  class_path: modelgenerator.tasks.SequenceRegression
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  init_args:
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  backbone:
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- class_path: modelgenerator.backbones.proteinfm
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  init_args:
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  from_scratch: false
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  max_length: 512
@@ -202,7 +202,7 @@ model:
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  data:
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  class_path: modelgenerator.data.FluorescencePrediction
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  init_args:
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- path: biomap-research/fluorescence_prediction
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  normalize: true
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  config_name: null
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  train_split_name: train
 
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  logger:
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  class_path: lightning.pytorch.loggers.WandbLogger
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  init_args:
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+ name: fluorescence_AIDO.Protein-16B
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  save_dir: lightning_logs/protein
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  version: null
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  offline: false
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  dir: null
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  id: null
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  anonymous: null
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+ project: xtrimo_benchmark_mgen_reproduction
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  log_model: false
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  experiment: null
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  prefix: ''
 
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  log_weight_decay: false
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  - class_path: lightning.pytorch.callbacks.ModelCheckpoint
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  init_args:
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+ dirpath: logs/xtrimo_benchmark_mgen_reproduction/fluorescence_AIDO.Protein-16B
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  filename: best_val:{epoch}-{val_spearman:.3f}
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  monitor: val_spearman
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  verbose: false
 
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  class_path: modelgenerator.tasks.SequenceRegression
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  init_args:
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  backbone:
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+ class_path: modelgenerator.backbones.aido_protein_16b
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  init_args:
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  from_scratch: false
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  max_length: 512
 
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  data:
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  class_path: modelgenerator.data.FluorescencePrediction
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  init_args:
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+ path: proteinglm/fluorescence_prediction
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  normalize: true
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  config_name: null
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  train_split_name: train