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ZhongJing-2-0_5b2 – AI Model by CMLL | AlphaNeural AI
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CMLL
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ZhongJing-2-0_5b2
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peft
tensorboard
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen1.5-0.5B-Chat
adapter
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Model card
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train_2024-02-22-19
This model is a fine-tuned version of
Qwen/Qwen1.5-0.5B-Chat
on the TCM and the oaast_sft_zh datasets.
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: 2e-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
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
