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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: gemma
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+ base_model: google/paligemma-3b-pt-224
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: paligemma_vqav2_1
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+ results: []
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+ ---
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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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+
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+ # paligemma_vqav2_1
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4158
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-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: 4
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+ - total_train_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_HF 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: 12
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | No log | 0.9976 | 318 | 0.3705 |
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+ | 1.1065 | 1.9984 | 637 | 0.2753 |
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+ | 1.1065 | 2.9992 | 956 | 0.2679 |
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+ | 0.2268 | 4.0 | 1275 | 0.2718 |
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+ | 0.1558 | 4.9976 | 1593 | 0.2638 |
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+ | 0.1558 | 5.9984 | 1912 | 0.2820 |
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+ | 0.1057 | 6.9992 | 2231 | 0.3018 |
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+ | 0.0623 | 8.0 | 2550 | 0.3286 |
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+ | 0.0623 | 8.9976 | 2868 | 0.3621 |
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+ | 0.0325 | 9.9984 | 3187 | 0.3919 |
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+ | 0.0191 | 10.9992 | 3506 | 0.4125 |
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+ | 0.0191 | 11.9718 | 3816 | 0.4158 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.46.2
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+ - Pytorch 2.1.2.post304
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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