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Upload training_config.yml with huggingface_hub

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  1. training_config.yml +83 -0
training_config.yml ADDED
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+ model:
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+ _component_: models.lora_mmllama3_8b
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+ lora_attn_modules:
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+ - q_proj
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+ - v_proj
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+ apply_lora_to_mlp: false
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+ apply_lora_to_output: false
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+ lora_rank: 16
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+ lora_alpha: 32
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+ perception_tokens: 2
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+ use_clip: false
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+ tokenizer:
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+ _component_: models.a2a_tokenizer
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+ path: models/tokenizer.model
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+ checkpointer:
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+ _component_: torchtune.utils.FullModelMetaCheckpointer
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+ checkpoint_dir: /workspace/omega_a2a/training
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+ checkpoint_files:
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+ - consolidated.00.pth
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+ adapter_checkpoint: null
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+ recipe_checkpoint: null
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+ output_dir: /workspace/omega_a2a/checkpoints
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+ model_type: LLAMA3
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+ resume_from_checkpoint: false
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+ interim_checkpoint_steps: 5000
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+ interim_gen_steps: null
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+ max_new_tokens: 100
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+ temperature: 0.8
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+ top_k: 230
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+ dataset:
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+ _component_: ds.EvenBatcher
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+ buffer_size: 36
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+ dataset:
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+ _component_: ds.RoundRobinDataset
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+ datasets:
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+ - _component_: ds.OmegaVideoCaptionDataset
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+ length: 500000
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+ - _component_: ds.LlavaInstructDataset
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+ dataset_path: ds/coco_llava_instruct/output.parquet
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+ train_on_input: false
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+ - _component_: ds.LlavaInstructDataset
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+ dataset_path: ds/vision_flan/output.parquet
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+ train_on_input: false
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+ - _component_: ds.CaptionInstructDataset
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+ dataset_path: ds/sam_llava/output.parquet
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+ train_on_input: false
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+ seed: null
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+ shuffle: true
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+ batch_size: 4
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+ optimizer:
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+ _component_: torch.optim.AdamW
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+ weight_decay: 0.0001
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+ lr: 3.0e-05
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+ lr_scheduler:
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+ _component_: torchtune.modules.get_cosine_schedule_with_warmup
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+ num_warmup_steps: 100
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+ loss:
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+ _component_: torch.nn.CrossEntropyLoss
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+ epochs: 6
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+ max_steps_per_epoch: null
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+ gradient_accumulation_steps: 64
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+ compile: false
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+ output_dir: /tmp/lora_finetune_output
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+ metric_logger:
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+ _component_: torchtune.utils.metric_logging.DiskLogger
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+ log_dir: ${output_dir}
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+ log_every_n_steps: null
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+ device: cuda
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+ dtype: bf16
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+ enable_activation_checkpointing: false
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+ profiler:
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+ _component_: torchtune.utils.profiler
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+ enabled: false
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+ inference:
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+ prompt_template: 'Video:
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+
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+ {video}
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+
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+ Caption the previous video.'
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+ max_new_tokens: 100
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+ temperature: 0.6
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+ top_k: 170
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+ quantizer: null