update with major refactor

README.md

@@ -20,12 +20,12 @@ snapshot_download(repo_id=model_name, local_dir=genbio_models_path)
 ### Load model for inference
 ```python
 import torch
-from genbio_finetune.tasks import SequenceClassification
+from modelgenerator.tasks import SequenceClassification
 
 ckpt_path = genbio_models_path.joinpath('model.ckpt')
 model = SequenceClassification.load_from_checkpoint(ckpt_path, strict_loading=False).eval()
 
-collated_batch = model.collate({"sequences": ["ACGT", "AGCT"]})
+collated_batch = model.transform({"sequences": ["ACGT", "AGCT"]})
 logits = model(collated_batch)
 print(logits)
 print(torch.argmax(logits, dim=-1))

config.yaml

@@ -37,7 +37,7 @@ trainer:
     class_path: lightning.pytorch.loggers.WandbLogger
     init_args:
       name: csp_acceptor_rnafm_1.6B
-      save_dir: genbio_finetune/logs
+      save_dir: modelgenerator/logs
       version: null
       offline: false
       dir: null
@@ -75,7 +75,7 @@ trainer:
       log_weight_decay: false
   - class_path: lightning.pytorch.callbacks.ModelCheckpoint
     init_args:
-      dirpath: genbio_finetune/logs/rna_tasks/csp_acceptor_rnafm_1.6B
+      dirpath: modelgenerator/logs/rna_tasks/csp_acceptor_rnafm_1.6B
       filename: best_val:{epoch}-{val_f1:.3f}
       monitor: val_f1
       verbose: false
@@ -134,12 +134,12 @@ trainer:
   plugins: null
   sync_batchnorm: false
   reload_dataloaders_every_n_epochs: 0
-  default_root_dir: genbio_finetune/logs
+  default_root_dir: modelgenerator/logs
 model:
-  class_path: genbio_finetune.tasks.SequenceClassification
+  class_path: modelgenerator.tasks.SequenceClassification
   init_args:
     backbone:
-      class_path: genbio_finetune.models.rnafm
+      class_path: modelgenerator.backbones.rnafm
       init_args:
         from_scratch: false
         max_length: 1024
@@ -156,7 +156,7 @@ model:
           attention_probs_dropout_prob: 0.1
         model_init_args: null
     adapter:
-      class_path: genbio_finetune.models.MLPPoolAdapter
+      class_path: modelgenerator.adapters.MLPPoolAdapter
       init_args:
         pooling: cls_pooling
         hidden_sizes:
@@ -183,7 +183,7 @@ model:
         differentiable: false
         fused: null
     lr_scheduler:
-      class_path: genbio_finetune.lr_schedulers.LinearWithWarmup
+      class_path: modelgenerator.lr_schedulers.LinearWithWarmup
       init_args:
         warmup_ratio: 0.01
         num_warmup_steps: null
@@ -193,7 +193,7 @@ model:
     strict_loading: true
     reset_optimizer_states: false
 data:
-  class_path: genbio_finetune.data.SpliceSitePrediction
+  class_path: modelgenerator.data.SpliceSitePrediction
   init_args:
     path: genbio-ai/rna-downstream-tasks
     config_name: splice_site_acceptor