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End of training
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metadata
license: gemma
library_name: peft
tags:
  - generated_from_trainer
base_model: google/paligemma-3b-mix-224
model-index:
  - name: wikimedia_r16_epoch10_model
    results: []

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