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Qwen_match_price_V2 – AI Model by xjw1001002 | AlphaNeural AI
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Qwen_match_price_V2
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen-7B-Chat
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train_2024-01-10-V2
This model is a fine-tuned version of
Qwen/Qwen-7B-Chat
on the price_tag_train 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
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 3
num_epochs: 6.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.15.0
Tokenizers 0.15.0
