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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-mix-448 |
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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-mix-448](https://huggingface.co/google/paligemma-3b-mix-448) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2605 |
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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: 4e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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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| 0.2753 | 1.0000 | 10099 | 0.2695 | |
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| 0.2265 | 1.9999 | 20198 | 0.2605 | |
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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 |
