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gemma-3-1b-it-exp-init-prl-ft-zh_TW
pavan-naik/gemma-3-1b-it-exp-init-prl-ft-zh_TW
gemma-3-1b-it-exp-init-prl-ft-zh_TW is a machine learning model from pavan-naik. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 11, 2025
- Updated
- Jul 16, 2025
- SHA
- bedc3463
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gemma-3-1b-it-exp-init-prl-ft-zh_TW
This model is a fine-tuned version of pavan-naik/gemma-3-1b-it-exp-init-prl-pt on the fine-tuning-en-zh_TW-train and the fine-tuning-en-zh_TW-valid datasets. It achieves the following results on the evaluation set:
- Loss: 0.7805
- Num Input Tokens Seen: 16229080
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- Created
- Jul 11, 2025
- Updated
- Jul 16, 2025