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doubutsu-2b-lora-756-vqa

An adapter for qresearch/doubutsu-2b-pt-756 trained on vqa_small for 3 epochs.

Usage

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model_id = "qresearch/doubutsu-2b-pt-756"
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    trust_remote_code=True,
    torch_dtype=torch.float16,
).to("cuda")

tokenizer = AutoTokenizer.from_pretrained(
    model_id,
    use_fast=True,
)

model.load_adapter("qresearch/doubutsu-2b-lora-756-vqa")

image = Image.open("IMAGE")

print(
    model.answer_question(
        image, "Describe the image", tokenizer, max_new_tokens=128, temperature=0.1
    ),
)

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • batch_size: 2
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • num_epochs: 3
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