NYUAD-ComNets/FaceScanPaliGemma_Emotion

paligemma_emotion_kaggle

from PIL import Image
import torch
from transformers import PaliGemmaProcessor, PaliGemmaForConditionalGeneration, BitsAndBytesConfig, TrainingArguments, Trainer


model = PaliGemmaForConditionalGeneration.from_pretrained('NYUAD-ComNets/FaceScanPaliGemma_Emotion',torch_dtype=torch.bfloat16)

input_text = "what is emotion of person in the image?"

processor = PaliGemmaProcessor.from_pretrained("google/paligemma-3b-pt-224")

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

model.to(device)


input_image = Image.open('image_path')
inputs = processor(text=input_text, images=input_image, padding="longest", do_convert_rgb=True, return_tensors="pt").to(device)
inputs = inputs.to(dtype=model.dtype)
      
with torch.no_grad():
          output = model.generate(**inputs, max_length=500)
result=processor.decode(output[0], skip_special_tokens=True)[len(input_text):].strip()

Model description

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the AffectNet dataset. The model aims to classify the emotion of face image or image with one person into eight categoris such as 'neutral', 'happy', 'sad', 'surprise', 'fear', 'disgust', 'anger', 'contempt'

Intended uses & limitations

This model is used for research purposes

Training and evaluation data

AffectNet dataset was used for training and validating the model

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 5

Training results

Framework versions

• Transformers 4.42.4
• Pytorch 2.1.2+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1

BibTeX entry and citation info

@misc{ComNets,
      url={https://huggingface.co/NYUAD-ComNets/FaceScanPaliGemma_Emotion](https://huggingface.co/NYUAD-ComNets/FaceScanPaliGemma_Emotion)},
      title={FaceScanPaliGemma_Emotion},
      author={Nouar AlDahoul, Yasir Zaki}
}