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DITS_hotpotqa_dpo_iteration_2
swt/DITS_hotpotqa_dpo_iteration_2
DITS_hotpotqa_dpo_iteration_2 is a machine learning model from swt. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- llama
- Access
- Public
- Created
- Mar 20, 2025
- Updated
- Mar 20, 2025
- SHA
- f2103a18
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
dpo_iteration_2_mix_warmup_3374
This model is a fine-tuned version of /data/group_data/cx_group/MCTS-agent/checkpoints/hotpot_qa_sft_dpo_DI/sft_iteration_2 on the /data/group_data/cx_group/MCTS-agent/my_datasets/hotpot_qa_sft_dpo_DI/dpo/hotpot_qa_dpo_mix_warmup_3374/iteration_2 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: 1
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Type
- llama
- Created
- Mar 20, 2025
- Updated
- Mar 20, 2025