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qwen3-1.7b-medical-amr-sft – AI Model by viamr-project | AlphaNeural AI
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viamr-project
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qwen3-1.7b-medical-amr-sft
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
jasong03/qwen3-1.7b-medical-cpt-v1
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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qwen3-1.7b-medical-amr-sft-v1
This model is a fine-tuned version of
jasong03/qwen3-1.7b-medical-cpt-v1
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.03
num_epochs: 3
Training results
Framework versions
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
