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HT-phase_scale-Qwen-20k-phase2 – AI Model by ShourenWSR | AlphaNeural AI
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ShourenWSR
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HT-phase_scale-Qwen-20k-phase2
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
other
text-generation-inference
endpoints_compatible
us
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Qwen_phase2_20k
This model is a fine-tuned version of
/scratch/pioneer/users/sxw992/hybrid-thinking-dataset/train/LLaMA-Factory/saves/2phases/Qwen_phase1_20k
on the phase2_20k 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: 12
total_train_batch_size: 24
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 2.5.1+cu124
Datasets 2.19.1
Tokenizers 0.21.1
