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--- |
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base_model: google/paligemma-3b-mix-448 |
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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__2110-104610 |
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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__2110-104610 |
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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: 3.2421 |
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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: 20 |
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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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| 2.6855 | 0.9952 | 180 | 2.6276 | |
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| 2.4044 | 1.9959 | 361 | 2.4716 | |
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| 2.2275 | 2.9965 | 542 | 2.4070 | |
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| 2.092 | 3.9972 | 723 | 2.3871 | |
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| 1.9761 | 4.9979 | 904 | 2.3929 | |
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| 1.8674 | 5.9986 | 1085 | 2.4194 | |
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| 1.7501 | 6.9993 | 1266 | 2.4726 | |
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| 1.6706 | 8.0 | 1447 | 2.5062 | |
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| 1.5599 | 8.9952 | 1627 | 2.5492 | |
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| 1.4896 | 9.9959 | 1808 | 2.6080 | |
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| 1.4289 | 10.9965 | 1989 | 2.6687 | |
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| 1.3458 | 11.9972 | 2170 | 2.7300 | |
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| 1.2746 | 12.9979 | 2351 | 2.7933 | |
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| 1.2656 | 13.9986 | 2532 | 2.8295 | |
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| 1.1751 | 14.9993 | 2713 | 2.9203 | |
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| 1.1792 | 16.0 | 2894 | 2.9811 | |
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| 1.0851 | 16.9952 | 3074 | 3.0481 | |
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| 1.0966 | 17.9959 | 3255 | 3.0981 | |
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| 1.0581 | 18.9965 | 3436 | 3.1394 | |
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| 1.0055 | 19.9032 | 3600 | 3.2421 | |
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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 0.20.0 |
