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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_1 |
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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_1 |
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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: 0.6032 |
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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: 0.0001 |
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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: 12 |
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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 | 0.2614 | |
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| 0.511 | 1.9984 | 637 | 0.2837 | |
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| 0.511 | 2.9992 | 956 | 0.3610 | |
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| 0.1393 | 4.0 | 1275 | 0.3947 | |
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| 0.0468 | 4.9976 | 1593 | 0.5137 | |
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| 0.0468 | 5.9984 | 1912 | 0.6421 | |
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| 0.0202 | 6.9992 | 2231 | 0.5855 | |
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| 0.0126 | 8.0 | 2550 | 0.5457 | |
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| 0.0126 | 8.9976 | 2868 | 0.5446 | |
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| 0.0083 | 9.9984 | 3187 | 0.5436 | |
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| 0.0062 | 10.9992 | 3506 | 0.5754 | |
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| 0.0062 | 11.9718 | 3816 | 0.6032 | |
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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 |
