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Qwen2.5-7B-PL-MoE-20k – AI Model by ShourenWSR | AlphaNeural AI
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Qwen2.5-7B-PL-MoE-20k
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transformers
safetensors
qwen2_pl_moe
feature-extraction
llama-factory
full
generated_from_trainer
custom_code
ShourenWSR/Qwen2.5-7B-PL-MoE-Initialized
finetune
other
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qwen_20k
This model is a fine-tuned version of
ShourenWSR/Qwen2.5-7B-PL-MoE-Initialized
on the naive-mix_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: 4
gradient_accumulation_steps: 12
total_train_batch_size: 48
total_eval_batch_size: 32
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 4.55.0
Pytorch 2.5.1+cu124
Datasets 2.19.1
Tokenizers 0.21.1
