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paligemma_vqa_lower

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paligemma
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text-generation-inference
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  1. README.md +8 -8
  2. model-00001-of-00002.safetensors +1 -1
  3. runs/May27_12-55-21_ae63705f58eb/events.out.tfevents.1716814533.ae63705f58eb.77579.0 +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/w0sur7w6)
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  # paligemma_vqa_lower
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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: 0.0131
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 5.5759 | 0.1471 | 500 | 4.3404 |
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- | 0.2128 | 0.2943 | 1000 | 0.1315 |
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- | 0.0267 | 0.4414 | 1500 | 0.0261 |
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- | 0.0151 | 0.5886 | 2000 | 0.0157 |
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- | 0.0143 | 0.7357 | 2500 | 0.0136 |
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- | 0.0129 | 0.8829 | 3000 | 0.0131 |
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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/orqwbsuq)
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  # paligemma_vqa_lower
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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: 0.0122
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.837 | 0.1471 | 500 | 3.7992 |
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+ | 0.1673 | 0.2943 | 1000 | 0.1149 |
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+ | 0.0227 | 0.4414 | 1500 | 0.0198 |
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+ | 0.0146 | 0.5886 | 2000 | 0.0138 |
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+ | 0.0135 | 0.7357 | 2500 | 0.0125 |
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+ | 0.013 | 0.8829 | 3000 | 0.0122 |
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  ### Framework versions
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