omeg31 / 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: 8
lora_alpha: 16
perception_tokens: 2
use_clip: false
tokenizer:
_component_: models.a2a_tokenizer
path: models/tokenizer.model
checkpointer:
_component_: torchtune.utils.FullModelMetaCheckpointer
checkpoint_dir:
checkpoint_files:
-
adapter_checkpoint: null
recipe_checkpoint: null
output_dir: output_checkpoints/experiment_1
model_type: LLAMA3
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.OmegaVideoCaptionDataset
length: 3000
- _component_: ds.LlavaInstructDataset
dataset_path: ds/coco_llava_instruct/output.parquet
train_on_input: false
- _component_: ds.LlavaInstructDataset
dataset_path: ds/vision_flan/output.parquet
train_on_input: false
- _component_: ds.CaptionInstructDataset
dataset_path: ds/sam_llava/output.parquet
train_on_input: false
seed: null
shuffle: true
batch_size: 6
optimizer:
_component_: torch.optim.AdamW
weight_decay: 0.0
lr: 0.0
lr_scheduler:
_component_: torchtune.modules.get_cosine_schedule_with_warmup
num_warmup_steps: 00
loss:
_component_: torch.nn.CrossEntropyLoss
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: false
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