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fine-tuned-qwen2.5-3b-final – AI Model by henrimaaNTNU | AlphaNeural AI
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fine-tuned-qwen2.5-3b-final
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Qwen/Qwen2.5-3B-Instruct
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fine-tuned-qwen2.5-3b-final
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-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: 0.00035
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 6
Training results
Framework versions
PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.2.2+cu121
Datasets 3.0.1
Tokenizers 0.20.3
