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--- |
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library_name: transformers |
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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_racer_fp32 |
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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_racer_fp32 |
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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: 2.5338 |
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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: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Use 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: 1000 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.942 | 0.1674 | 100 | 3.2672 | |
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| 2.8843 | 0.3349 | 200 | 2.7924 | |
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| 2.675 | 0.5023 | 300 | 2.6303 | |
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| 2.5428 | 0.6697 | 400 | 2.5909 | |
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| 2.5034 | 0.8372 | 500 | 2.5196 | |
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| 2.4216 | 1.0046 | 600 | 2.5330 | |
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| 2.377 | 1.1720 | 700 | 2.5048 | |
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| 2.3428 | 1.3395 | 800 | 2.5692 | |
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| 2.3453 | 1.5069 | 900 | 2.5152 | |
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| 2.3258 | 1.6743 | 1000 | 2.5434 | |
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| 2.2206 | 1.8418 | 1100 | 2.5338 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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