gemma-2-9b-it-dpo-iter-1-evol-1
This model is a fine-tuned version of cat-searcher/gemma-2-9b-it-dpo-iter-1 on the cat-searcher/ultrafeedback-dpo-gemma-2-9b-it-split-1-iter-1-pair-evol-1-mixed-0.2-0.8-pair 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: 5e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for cat-searcher/gemma-2-9b-it-dpo-iter-1-evol-1
Base model
google/gemma-2-9b
Finetuned
google/gemma-2-9b-it
Finetuned
cat-searcher/gemma-2-9b-it-dpo-iter-1