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training_config.yml

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+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
+freeze_layers:
+  _component_: torchtune.utils.Freeze_Layers
+  num_layers: 8
+checkpointer:
+  _component_: torchtune.utils.FullModelMetaCheckpointer
+  checkpoint_dir: tiresome5/
+  checkpoint_files:
+  - meta_model_0.pt
+  adapter_checkpoint: null
+  recipe_checkpoint: null
+  output_dir: output_checkpoints/experiment_1
+  model_type: LLAMA3
+use_freeze_layers: true
+resume_from_checkpoint: false
+interim_checkpoint_steps: 20000
+interim_gen_steps: null
+max_new_tokens: 100
+temperature: 0.6
+top_k: 225
+dataset:
+  _component_: ds.EvenBatcher
+  buffer_size: 1000
+  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: 4
+optimizer:
+  _component_: torch.optim.AdamW
+  weight_decay: 0.0001
+  lr: 0.0001
+  betas:
+  - 0.9
+  - 0.998
+lr_scheduler:
+  _component_: torchtune.modules.get_cosine_schedule_with_warmup
+  num_warmup_steps: 500
+loss:
+  _component_: torch.nn.CrossEntropyLoss
+grad_clip:
+  _component_: torch.nn.utils.clip_grad_norm
+  max_norm: 2.0
+  norm_type: 2
+epochs: 6
+max_steps_per_epoch: null
+gradient_accumulation_steps: 32
+compile: true
+output_dir: /tmp/lora_finetune_output
+metric_logger:
+  _component_: torchtune.utils.metric_logging.DiskLogger
+  log_dir: ${output_dir}
+log_every_n_steps: null
+device: cuda
+dtype: bf16
+enable_activation_checkpointing: false
+profiler:
+  _component_: torchtune.utils.profiler
+  enabled: true
+inference:
+  prompt_template: 'Video:
+
+    {video}
+
+    Caption the previous video.'
+  max_new_tokens: 300
+  temperature: 0.6
+  top_k: 300
+  quantizer: null
+gradient-accumulation-steps: 32