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paligemma-vqa

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paligemma
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  1. README.md +16 -16
  2. model-00001-of-00002.safetensors +1 -1
  3. runs/May26_17-49-30_ae63705f58eb/events.out.tfevents.1716745774.ae63705f58eb.59466.0 +2 -2
README.md CHANGED
@@ -13,12 +13,12 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/5b5skvtb)
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  # paligemma-vqa
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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 the vq_av2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9226
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  ## Model description
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@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 8e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 20.2791 | 0.0736 | 500 | 19.3371 |
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- | 5.4004 | 0.1472 | 1000 | 4.8792 |
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- | 1.5853 | 0.2207 | 1500 | 1.4809 |
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- | 1.091 | 0.2943 | 2000 | 1.0661 |
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- | 0.9667 | 0.3679 | 2500 | 0.9655 |
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- | 0.9449 | 0.4415 | 3000 | 0.9356 |
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- | 0.9241 | 0.5151 | 3500 | 0.9270 |
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- | 0.9295 | 0.5886 | 4000 | 0.9238 |
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- | 0.922 | 0.6622 | 4500 | 0.9228 |
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- | 0.9103 | 0.7358 | 5000 | 0.9229 |
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- | 0.9225 | 0.8094 | 5500 | 0.9225 |
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- | 0.9159 | 0.8830 | 6000 | 0.9223 |
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- | 0.934 | 0.9566 | 6500 | 0.9226 |
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  ### Framework versions
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/xgb0dent)
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  # paligemma-vqa
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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 the vq_av2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.02
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0019 | 0.0736 | 500 | 0.0081 |
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+ | 0.0004 | 0.1472 | 1000 | 0.0002 |
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+ | 0.0003 | 0.2207 | 1500 | 0.0002 |
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+ | 0.0001 | 0.2943 | 2000 | 0.0001 |
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+ | 0.0001 | 0.3679 | 2500 | 0.0001 |
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+ | 0.0001 | 0.4415 | 3000 | 0.0001 |
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+ | 0.0002 | 0.5151 | 3500 | 0.0002 |
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+ | 0.0001 | 0.5886 | 4000 | 0.0001 |
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+ | 0.0001 | 0.6622 | 4500 | 0.0001 |
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+ | 0.0001 | 0.7358 | 5000 | 0.0001 |
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+ | 0.0001 | 0.8094 | 5500 | 0.0001 |
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+ | 0.0001 | 0.8830 | 6000 | 0.0001 |
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+ | 0.0001 | 0.9566 | 6500 | 0.0001 |
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  ### Framework versions
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