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Qwen3-1.7B-Instruct-RAG – AI Model by rd211 | AlphaNeural AI
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rd211
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Qwen3-1.7B-Instruct-RAG
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transformers
tensorboard
safetensors
qwen3
text-classification
generated_from_trainer
Qwen/Qwen3-1.7B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen3-1.7B-Instruct-RAG
This model is a fine-tuned version of
Qwen/Qwen3-1.7B
on the None 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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 128
num_epochs: 1
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
