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Qwen1.5-7B-ChatLoRA – AI Model by dugoalberto | AlphaNeural AI
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Qwen1.5-7B-ChatLoRA
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codeQwen1.8-instruct-LoRA
This model is a fine-tuned version of
Qwen/Qwen1.5-7B-Chat
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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1.dev0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
