File size: 2,074 Bytes
c30a939 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 |
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: /workspace/omega_a2a/training
checkpoint_files:
- consolidated.00.pth
adapter_checkpoint: null
recipe_checkpoint: null
output_dir: /workspace/omega_a2a/checkpoints
model_type: LLAMA3
resume_from_checkpoint: false
interim_checkpoint_steps: 5000
interim_gen_steps: null
max_new_tokens: 170
temperature: 0.8
top_k: 200
dataset:
_component_: ds.EvenBatcher
buffer_size: 36
dataset:
_component_: ds.RoundRobinDataset
datasets:
- _component_: ds.OmegaVideoCaptionDataset
length: 500000
- _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: 4
optimizer:
_component_: torch.optim.AdamW
weight_decay: 0.0001
lr: 3.0e-05
lr_scheduler:
_component_: torchtune.modules.get_cosine_schedule_with_warmup
num_warmup_steps: 100
loss:
_component_: torch.nn.CrossEntropyLoss
epochs: 6
max_steps_per_epoch: null
gradient_accumulation_steps: 64
compile: false
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: 170
temperature: 0.6
top_k: 200
quantizer: null
|