orpo_pythia2_hh_helpful
This model is a fine-tuned version of EleutherAI/pythia-2.8b on the None 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: 8e-06
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- num_epochs: 2.0
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.42.0
- Pytorch 2.4.0+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1
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Model tree for sert121/orpo_pythia2_hh_helpful
Base model
EleutherAI/pythia-2.8b