two_agent_rdpo_iter_2
This model is a fine-tuned version of YYYYYYibo/full_vanilla_dpo_iter_1 on the updated and the original datasets.
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: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 5
- gradient_accumulation_steps: 26
- total_train_batch_size: 130
- total_eval_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for YYYYYYibo/two_agent_rdpo_iter_2
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full
Finetuned
YYYYYYibo/full_vanilla_dpo_iter_1