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--- |
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license: gemma |
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base_model: google/paligemma-3b-pt-224 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- vq_av2 |
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model-index: |
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- name: paligemma_vqa_lower |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/orqwbsuq) |
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# paligemma_vqa_lower |
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This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the vq_av2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0122 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1200 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 4.837 | 0.1471 | 500 | 3.7992 | |
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| 0.1673 | 0.2943 | 1000 | 0.1149 | |
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| 0.0227 | 0.4414 | 1500 | 0.0198 | |
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| 0.0146 | 0.5886 | 2000 | 0.0138 | |
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| 0.0135 | 0.7357 | 2500 | 0.0125 | |
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| 0.013 | 0.8829 | 3000 | 0.0122 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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