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egoblind-ra-dpo-f1-sft – AI Model by julia225 | AlphaNeural AI
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egoblind-ra-dpo-f1-sft
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peft
safetensors
llama-factory
lora
generated_from_trainer
trl
dpo
moonshotai/Kimi-VL-A3B-Instruct
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dpo_f1_sft
This model is a fine-tuned version of
moonshotai/Kimi-VL-A3B-Instruct
on the egoblind_dpo_f1_sft 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Framework versions
PEFT 0.13.0
Transformers 4.56.0
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.22.0
