palicoqiqi/paligemma_ocr_final
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README.md
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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_ocr_final
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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_ocr_final
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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: 2.2630
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 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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| 13.3076 | 0.2888 | 20 | 2.7240 |
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| 9.9169 | 0.5776 | 40 | 2.3545 |
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| 9.1021 | 0.8664 | 60 | 2.2845 |
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| 9.0472 | 1.1552 | 80 | 2.2641 |
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| 8.893 | 1.4440 | 100 | 2.2649 |
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| 8.8682 | 1.7329 | 120 | 2.2630 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.1
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- Pytorch 2.4.1+cu124
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- Datasets 2.19.1
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- Tokenizers 0.20.1
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adapter_model.safetensors
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runs/Dec01_18-17-36_DESKTOP-JQAT587/events.out.tfevents.1733102282.DESKTOP-JQAT587.22764.0
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