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two_agent_1_epoch_2_dpo_iter_4 – AI Model by YYYYYYibo | AlphaNeural AI
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two_agent_1_epoch_2_dpo_iter_4
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safetensors
mistral
alignment-handbook
trl
dpo
generated_from_trainer
updated
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YYYYYYibo/two_agent_1_dpo_iter_3
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two_agent_1_epoch_2_dpo_iter_4
This model is a fine-tuned version of
YYYYYYibo/two_agent_1_dpo_iter_3
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: 1e-07
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 128
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 4.38.2
Pytorch 2.3.1+cu121
Datasets 2.14.6
Tokenizers 0.15.2
