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DITS_cbt_dpo_iteration_2 – AI Model by swt | AlphaNeural AI
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DITS_cbt_dpo_iteration_2
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iteration_2
This model is a fine-tuned version of
/data/group_data/cx_group/MCTS-agent/checkpoints/cbt_sft_dpo_DI/sft_iteration_2
on the /data/group_data/cx_group/MCTS-agent/my_datasets/cbt_sft_dpo_DI/dpo/cbt_dpo_mix_warmup_4806/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
