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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: results_solo_good_fold_4_pt |
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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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# results_solo_good_fold_4_pt |
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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: 0.1700 |
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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: 1e-05 |
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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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- optimizer: Use OptimizerNames.ADAMW_TORCH 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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.2176 | 1.0 | 2091 | 0.1707 | |
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| 0.1996 | 2.0 | 4182 | 0.1760 | |
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| 0.2025 | 3.0 | 6273 | 0.1760 | |
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| 0.1979 | 4.0 | 8364 | 0.1781 | |
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| 0.198 | 5.0 | 10455 | 0.1706 | |
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| 0.1942 | 6.0 | 12546 | 0.1710 | |
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| 0.1968 | 7.0 | 14637 | 0.1703 | |
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| 0.1949 | 8.0 | 16728 | 0.1700 | |
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| 0.1937 | 9.0 | 18819 | 0.1702 | |
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| 0.1939 | 10.0 | 20910 | 0.1704 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.1.2+cu121 |
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- Tokenizers 0.21.0 |
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