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--- |
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library_name: peft |
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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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model-index: |
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- name: paligemma_vqav2 |
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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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# paligemma_vqav2 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2576 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 11 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| No log | 0.9976 | 318 | 0.4476 | |
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| 1.7322 | 1.9984 | 637 | 0.3353 | |
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| 1.7322 | 2.9992 | 956 | 0.3288 | |
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| 0.2942 | 4.0 | 1275 | 0.2902 | |
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| 0.219 | 4.9976 | 1593 | 0.2842 | |
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| 0.219 | 5.9984 | 1912 | 0.2551 | |
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| 0.189 | 6.9992 | 2231 | 0.2656 | |
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| 0.1596 | 8.0 | 2550 | 0.2686 | |
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| 0.1596 | 8.9976 | 2868 | 0.2524 | |
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| 0.138 | 9.9984 | 3187 | 0.2601 | |
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| 0.138 | 10.9741 | 3498 | 0.2576 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.2 |
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- Pytorch 2.1.2.post304 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
