idefics-9b-instruct-all-v3

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Model Details

r = 32, lora_alpha = 64, target_modules = ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"], lora_dropout = 0.1, bias="none" ) model = get_peft_model(model, config) model.print_trainable_parameters() training_args = TrainingArguments( output_dir = f"{model_name}-logo", dataloader_pin_memory = False, logging_steps = 1, remove_unused_columns = False, push_to_hub=False, label_names= ["labels"], num_train_epochs = 10, per_device_train_batch_size = 1, gradient_accumulation_steps = 1,
warmup_steps = 0.1, save_total_limit=5, max_grad_norm=0.3,

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