orpo_opt2_hh_filtered
This model is a fine-tuned version of facebook/opt-2.7b 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: 12
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.45.0
- Pytorch 2.5.0+cu124
- Datasets 2.19.2
- Tokenizers 0.20.0
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Model tree for sert121/orpo_opt2_hh_filtered
Base model
facebook/opt-2.7b