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cardinal-query-expansion-1.7B-sft – AI Model by nickflorez | AlphaNeural AI
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nickflorez
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cardinal-query-expansion-1.7B-sft
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3-1.7B
apache-2.0
us
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cardinal-query-expansion-1.7B-sft
This model is a fine-tuned version of
Qwen/Qwen3-1.7B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0713
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: 0.0002
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: 50
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.1842
0.8
50
0.1496
0.0794
1.592
100
0.0919
0.0750
2.384
150
0.0813
0.0655
3.176
200
0.0751
0.0584
3.976
250
0.0717
0.0573
4.768
300
0.0713
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
