neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3
This model is a fine-tuned version of /ML-A100/team/mm/zhangge/models/neo_pt2.6_phase2/sft_ckpts/neo_7B_sft_v0_1_plus/checkpoint-225 on the /ML-A100/team/mm/zhangge/iterativeDPO/data/dataset/Nectar-Starling-RM-34B-rank1-2-origin 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-06
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 64
- total_train_batch_size: 192
- total_eval_batch_size: 512
- 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
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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