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gemma2_dpo_oasst1_noise40_epoch2
ma921/gemma2_dpo_oasst1_noise40_epoch2
gemma2_dpo_oasst1_noise40_epoch2 is a text generation model from ma921. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- May 9, 2025
- Updated
- May 9, 2025
- SHA
- 288853a7
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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. -->
gemma2_dpo_oasst1_noise40_epoch2
This model is a fine-tuned version of ma921/gemma-2-sft-oasst1 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 256
- total_train_batch_size: 256
- 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: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- gemma2
- License
- gemma
- Created
- May 9, 2025
- Updated
- May 9, 2025