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--- |
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base_model: google/paligemma-3b-mix-224 |
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library_name: peft |
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license: gemma |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results__fullrun__0710-151659 |
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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__fullrun__0710-151659 |
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This model is a fine-tuned version of [google/paligemma-3b-mix-224](https://huggingface.co/google/paligemma-3b-mix-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9365 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 2.6543 | 0.9952 | 180 | 2.5976 | |
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| 2.3815 | 1.9959 | 361 | 2.4431 | |
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| 2.202 | 2.9965 | 542 | 2.3760 | |
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| 2.0724 | 3.9972 | 723 | 2.3569 | |
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| 1.9581 | 4.9979 | 904 | 2.3635 | |
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| 1.8454 | 5.9986 | 1085 | 2.3840 | |
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| 1.7332 | 6.9993 | 1266 | 2.4254 | |
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| 1.6564 | 8.0 | 1447 | 2.4647 | |
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| 1.5437 | 8.9952 | 1627 | 2.5172 | |
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| 1.4799 | 9.9959 | 1808 | 2.5699 | |
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| 1.4155 | 10.9965 | 1989 | 2.6371 | |
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| 1.3326 | 11.9972 | 2170 | 2.7292 | |
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| 1.2682 | 12.9979 | 2351 | 2.7818 | |
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| 1.2501 | 13.9986 | 2532 | 2.8409 | |
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| 1.1692 | 14.9993 | 2713 | 2.8931 | |
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| 1.166 | 16.0 | 2894 | 2.9522 | |
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| 1.0736 | 16.9952 | 3074 | 3.0303 | |
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| 1.0849 | 17.9959 | 3255 | 3.0626 | |
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| 1.0453 | 18.9965 | 3436 | 3.1208 | |
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| 0.9778 | 19.9972 | 3617 | 3.1514 | |
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| 0.9626 | 20.9979 | 3798 | 3.2182 | |
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| 0.9285 | 21.9986 | 3979 | 3.2926 | |
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| 0.9047 | 22.9993 | 4160 | 3.3494 | |
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| 0.8471 | 24.0 | 4341 | 3.3960 | |
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| 0.8123 | 24.9952 | 4521 | 3.4674 | |
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| 0.7798 | 25.9959 | 4702 | 3.5216 | |
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| 0.762 | 26.9965 | 4883 | 3.6214 | |
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| 0.7284 | 27.9972 | 5064 | 3.6831 | |
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| 0.6922 | 28.9979 | 5245 | 3.6883 | |
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| 0.6732 | 29.9986 | 5426 | 3.7731 | |
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| 0.6575 | 30.9993 | 5607 | 3.8512 | |
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| 0.608 | 32.0 | 5788 | 3.9272 | |
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| 0.5817 | 32.9952 | 5968 | 3.9129 | |
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| 0.5567 | 33.9959 | 6149 | 4.0213 | |
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| 0.5448 | 34.9965 | 6330 | 4.0896 | |
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| 0.5159 | 35.9972 | 6511 | 4.1160 | |
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| 0.4992 | 36.9979 | 6692 | 4.1914 | |
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| 0.4644 | 37.9986 | 6873 | 4.2932 | |
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| 0.4412 | 38.9993 | 7054 | 4.3430 | |
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| 0.4619 | 40.0 | 7235 | 4.4002 | |
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| 0.4155 | 40.9952 | 7415 | 4.3920 | |
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| 0.3948 | 41.9959 | 7596 | 4.5190 | |
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| 0.3714 | 42.9965 | 7777 | 4.5420 | |
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| 0.3536 | 43.9972 | 7958 | 4.6237 | |
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| 0.3402 | 44.9979 | 8139 | 4.6591 | |
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| 0.3336 | 45.9986 | 8320 | 4.7309 | |
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| 0.3026 | 46.9993 | 8501 | 4.7661 | |
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| 0.2914 | 48.0 | 8682 | 4.8383 | |
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| 0.2711 | 48.9952 | 8862 | 4.8839 | |
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| 0.2498 | 49.7581 | 9000 | 4.9365 | |
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### Framework versions |
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- PEFT 0.13.0 |
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- Transformers 4.45.1 |
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- Pytorch 2.3.0.post101 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
