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config:
(): colpali_engine.trainer.colmodel_training.ColModelTrainingConfig
output_dir: !path ../../../models/biqwen2-warmup-256-newpad-0e
processor:
(): colpali_engine.utils.transformers_wrappers.AllPurposeWrapper
class_to_instanciate: !ext colpali_engine.models.BiQwen2Processor
pretrained_model_name_or_path: "./models/colqwen2_base" # "./models/paligemma-3b-mix-448"
# max_length: 50
model:
(): colpali_engine.utils.transformers_wrappers.AllPurposeWrapper
class_to_instanciate: !ext colpali_engine.models.BiQwen2
pretrained_model_name_or_path: "./models/qwen2-warmup"
torch_dtype: !ext torch.bfloat16
use_cache: false
attn_implementation: "flash_attention_2"
# device_map: "auto"
# quantization_config:
# (): transformers.BitsAndBytesConfig
# load_in_4bit: true
# bnb_4bit_quant_type: "nf4"
# bnb_4bit_compute_dtype: "bfloat16"
# bnb_4bit_use_double_quant: true
dataset_loading_func: !ext colpali_engine.utils.dataset_transformation.load_train_set
eval_dataset_loader: !import ../data/test_data.yaml
# max_length: 50
run_eval: true
loss_func:
(): colpali_engine.loss.bi_encoder_losses.BiPairwiseCELoss
tr_args:
(): transformers.training_args.TrainingArguments
output_dir: null
overwrite_output_dir: true
num_train_epochs: 1
per_device_train_batch_size: 64
gradient_checkpointing: true
gradient_checkpointing_kwargs: { "use_reentrant": false }
# 6 x 8 gpus = 48 batch size
# gradient_accumulation_steps: 4
per_device_eval_batch_size: 64
eval_strategy: "steps"
dataloader_num_workers: 8
# bf16: true
save_steps: 500
logging_steps: 10
max_steps: 1
eval_steps: 100
warmup_steps: 100
learning_rate: 5e-5
save_total_limit: 1
resume_from_checkpoint: false
# optim: "paged_adamw_8bit"
peft_config:
(): peft.LoraConfig
r: 32
lora_alpha: 32
lora_dropout: 0.1
init_lora_weights: "gaussian"
bias: "none"
task_type: "FEATURE_EXTRACTION"
target_modules: '(.*(model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$)'
# target_modules: '(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)'
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