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ARR_qwen_2.5_pubmedqa – AI Model by ketchup123 | AlphaNeural AI
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ARR_qwen_2.5_pubmedqa
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
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pubmedqa2eochs
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the pubmedqa 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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use OptimizerNames.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: 0.01
num_epochs: 2.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.46.1
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
