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UnifiedReward-Think-rejection_sampling_whole – AI Model by sarahyo941 | AlphaNeural AI
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UnifiedReward-Think-rejection_sampling_whole
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transformers
safetensors
internvl_chat
text-generation
generated_from_trainer
conversational
custom_code
OpenGVLab/InternVL3-8B
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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UnifiedReward-Think-rejection_sampling_whole
This model is a fine-tuned version of
OpenGVLab/InternVL3-8B
on an unknown 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
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use 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: 3.0
Training results
Framework versions
Transformers 4.56.0.dev0
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
