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Qwen-Bypass-Done – AI Model by zaddyzaddy | AlphaNeural AI
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Qwen-Bypass-Done
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen-2.5-7B-base-RAG-RL
This model was trained from scratch 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 2.19.0
Tokenizers 0.20.3
