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qwen-1.7b-sft – AI Model by pvdhihihi | AlphaNeural AI
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qwen-1.7b-sft
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transformers
safetensors
qwen3
text-generation
alignment-handbook
generated_from_trainer
conversational
HuggingFaceH4/deita-10k-v0-sft
Qwen/Qwen3-1.7B-Base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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qwen3-1.7b-deita-sft-student
This model is a fine-tuned version of
Qwen/Qwen3-1.7B-Base
on the HuggingFaceH4/deita-10k-v0-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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 64
total_eval_batch_size: 16
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: 1
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.11.0+cu128
Datasets 3.2.0
Tokenizers 0.21.4
