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ece6514-group3-qwen25-3b-random15k_adapter.diversityrun – AI Model by benjivt | AlphaNeural AI
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ece6514-group3-qwen25-3b-random15k_adapter.diversityrun
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peft
safetensors
adapter
llama-factory
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text-generation
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Qwen/Qwen2.5-3B-Instruct
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acereason11_15k_v1
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on the acereason11_15k 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: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.17.1
Transformers 4.56.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.22.1
