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Qwen2.5-1.5B-Instruct-v1-Hard – AI Model by jahyungu | AlphaNeural AI
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Qwen2.5-1.5B-Instruct-v1-Hard
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peft
safetensors
adapter
lora
transformers
text-generation
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Qwen/Qwen2.5-1.5B-Instruct
apache-2.0
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Qwen2.5-1.5B-Instruct-v1-Hard
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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Framework versions
PEFT 0.18.1
Transformers 4.56.0
Pytorch 2.10.0+cu130
Datasets 4.5.0
Tokenizers 0.22.2
