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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: 1.9992 |
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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: 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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| 9.8687 | 0.2996 | 20 | 2.1657 | |
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| 8.7674 | 0.5993 | 40 | 2.1023 | |
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| 8.4692 | 0.8989 | 60 | 2.0533 | |
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| 8.1101 | 1.1985 | 80 | 2.0188 | |
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| 8.1163 | 1.4981 | 100 | 2.0047 | |
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| 8.0924 | 1.7978 | 120 | 1.9992 | |
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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 |
