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End of training

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README.md ADDED
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+ ---
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+ license: gemma
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: google/paligemma-3b-mix-224
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+ model-index:
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+ - name: wikimedia_r16_epoch10_model
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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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+ # wikimedia_r16_epoch10_model
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+
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+ This model is a fine-tuned version of [google/paligemma-3b-mix-224](https://huggingface.co/google/paligemma-3b-mix-224) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8559
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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: 3
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 10
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+ - total_train_batch_size: 30
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
runs/Jun26_11-46-14_aid-iad-bm-gpu4-8-ad1-002/events.out.tfevents.1719466057.aid-iad-bm-gpu4-8-ad1-002.1504226.1 ADDED
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