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Qwen-1.5B-EM-LogitKD – AI Model by LazarM05 | AlphaNeural AI
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LazarM05
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Qwen-1.5B-EM-LogitKD
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peft
safetensors
adapter
lora
transformers
text-generation
Qwen/Qwen2.5-1.5B-Instruct
apache-2.0
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Qwen-1.5B-EM-LogitKD
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B-Instruct
on an unknown 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: 0.0005
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_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: linear
num_epochs: 20
Training results
Framework versions
PEFT 0.19.1
Transformers 5.6.2
Pytorch 2.7.1+cu118
Datasets 4.8.4
Tokenizers 0.22.2
