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wikimedia_r16_epoch10_model – AI Model by hansa15100 | AlphaNeural AI

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hansa15100/
wikimedia_r16_epoch10_model

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google/paligemma-3b-mix-224

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wikimedia_r16_epoch10_model

This model is a fine-tuned version of google/paligemma-3b-mix-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8559

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 30
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10

Training results

Framework versions

PEFT 0.11.1
Transformers 4.42.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1