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mhqa_qwen_sft_behavior – AI Model by zizi-0123 | AlphaNeural AI
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mhqa_qwen_sft_behavior
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transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
conversational
other
text-generation-inference
endpoints_compatible
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mhqa_qwen3_1.7b_sft_behavior
This model is a fine-tuned version of
Qwen3-1.7B
on the deep_research_24 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Use 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: 3.0
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.9.0+cu128
Datasets 3.2.0
Tokenizers 0.21.1
