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--- |
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library_name: peft |
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license: gemma |
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base_model: google/paligemma2-28b-pt-448 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: PG2-28b-pt-448-COND_GEN |
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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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# PG2-28b-pt-448-COND_GEN |
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This model is a fine-tuned version of [google/paligemma2-28b-pt-448](https://huggingface.co/google/paligemma2-28b-pt-448) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Accuracy: 0.0 |
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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: 5e-05 |
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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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- optimizer: Use 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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- 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 | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.4437 | 0.1001 | 200 | 0.0036 | 1.0 | |
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| 0.3054 | 0.2001 | 400 | 0.0002 | 1.0 | |
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| 0.3504 | 0.3002 | 600 | 0.0001 | 1.0 | |
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| 0.2364 | 0.4002 | 800 | 0.0001 | 0.0 | |
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| 0.257 | 0.5003 | 1000 | 0.0001 | 0.0 | |
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| 0.3007 | 0.6003 | 1200 | 0.0002 | 0.0 | |
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| 0.2468 | 0.7004 | 1400 | 0.0001 | 0.0 | |
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| 0.278 | 0.8004 | 1600 | 0.0001 | 0.0 | |
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| 0.2576 | 0.9005 | 1800 | 0.0001 | 0.0 | |
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| 0.3052 | 1.0005 | 2000 | 0.0005 | 0.0 | |
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| 0.0982 | 1.1006 | 2200 | 0.0001 | 0.0 | |
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| 0.103 | 1.2006 | 2400 | 0.0001 | 0.0 | |
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| 0.1191 | 1.3007 | 2600 | 0.0001 | 0.0 | |
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| 0.1137 | 1.4007 | 2800 | 0.0001 | 1.0 | |
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| 0.1567 | 1.5008 | 3000 | 0.0001 | 0.0 | |
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| 0.0758 | 1.6008 | 3200 | 0.0000 | 0.0 | |
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| 0.0969 | 1.7009 | 3400 | 0.0001 | 0.0 | |
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| 0.1034 | 1.8009 | 3600 | 0.0000 | 0.0 | |
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| 0.0513 | 1.9010 | 3800 | 0.0000 | 0.0 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
