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paligemma_textqa_continual_priority_syntax_det
TRUBETSKOY/paligemma_textqa_continual_priority_syntax_det
paligemma_textqa_continual_priority_syntax_det is a machine learning model from TRUBETSKOY. 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 transformers. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Mar 9, 2025
Repo size
47.6 MB
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At a glance
- Library
- transformers
- License
- gemma
- Access
- Public
- Created
- Mar 9, 2025
- Updated
- Mar 9, 2025
- SHA
- 77495d9e
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. -->
paligemma_textqa_continual_priority_syntax_det
This model is a fine-tuned version of google/paligemma2-3b-pt-224 on an unknown dataset.
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
Training results
Framework versions
- Transformers 4.48.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.21.0
- Library
- transformers
- License
- gemma
- Created
- Mar 9, 2025
- Updated
- Mar 9, 2025