Delete training_config.yml

training_config.yml

@@ -1,75 +0,0 @@
-model:
-  _component_: models.lora_mmllama3_8b
-  lora_attn_modules:
-  - q_proj
-  - v_proj
-  apply_lora_to_mlp: false
-  apply_lora_to_output: false
-  lora_rank: 16
-  lora_alpha: 32
-  perception_tokens: 2
-  use_clip: false
-tokenizer:
-  _component_: models.a2a_tokenizer
-  path: models/tokenizer.model
-checkpointer:
-  _component_: torchtune.utils.FullModelMetaCheckpointer
-  checkpoint_dir: checkpoints/Meta-Llama-3-8B-Instruct/original
-  checkpoint_files:
-  - consolidated.00.pth
-  adapter_checkpoint: null
-  recipe_checkpoint: null
-  output_dir: output_checkpoints/omega_a2a
-  model_type: LLAMA3
-resume_from_checkpoint: false
-interim_checkpoint_steps: 5000
-interim_gen_steps: null
-max_new_tokens: 100
-temperature: 0.6
-top_k: 225
-dataset:
-  _component_: ds.EvenBatcher
-  buffer_size: 64
-  dataset:
-    _component_: ds.RoundRobinDataset
-    datasets:
-    - _component_: ds.CaptionInstructDataset
-      dataset_path: ds/sam_llava/output.parquet
-      train_on_input: false
-seed: null
-shuffle: true
-batch_size: 1
-optimizer:
-  _component_: torch.optim.AdamW
-  weight_decay: 0.001
-  lr: 1.0e-05
-lr_scheduler:
-  _component_: torchtune.modules.get_cosine_schedule_with_warmup
-  num_warmup_steps: 100
-loss:
-  _component_: torch.nn.CrossEntropyLoss
-epochs: 4
-max_steps_per_epoch: null
-gradient_accumulation_steps: 32
-compile: false
-output_dir: /tmp/lora_finetune_output
-metric_logger:
-  _component_: torchtune.utils.metric_logging.StdoutLogger
-  log_dir: /dev/stdout
-log_every_n_steps: 8
-device: cuda
-dtype: bf16
-enable_activation_checkpointing: false
-profiler:
-  _component_: torchtune.utils.profiler
-  enabled: false
-inference:
-  prompt_template: 'Video:
-
-    {video}
-
-    Caption the previous video.'
-  max_new_tokens: 300
-  temperature: 0.6
-  top_k: 300
-  quantizer: null