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--- |
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base_model: qresearch/doubutsu-2b-pt-756 |
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library_name: peft |
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license: apache-2.0 |
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datasets: |
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- abhishek/vqa_small |
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--- |
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# doubutsu-2b-lora-756-vqa |
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An adapter for [qresearch/doubutsu-2b-pt-756](https://huggingface.co/qresearch/doubutsu-2b-pt-756) trained on [vqa_small](https://huggingface.co/datasets/abhishek/vqa_small) for 3 epochs. |
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## Usage |
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```python |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from PIL import Image |
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model_id = "qresearch/doubutsu-2b-pt-756" |
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model = AutoModelForCausalLM.from_pretrained( |
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model_id, |
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trust_remote_code=True, |
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torch_dtype=torch.float16, |
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).to("cuda") |
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tokenizer = AutoTokenizer.from_pretrained( |
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model_id, |
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use_fast=True, |
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) |
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model.load_adapter("qresearch/doubutsu-2b-lora-756-vqa") |
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image = Image.open("IMAGE") |
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print( |
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model.answer_question( |
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image, "Describe the image", tokenizer, max_new_tokens=128, temperature=0.1 |
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), |
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) |
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``` |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- batch_size: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- num_epochs: 3 |
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``` |
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