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Adapter-Phi-3-medium-128k-instruct-gptq-pubmed_unlabeled-lora-S50-E3 – AI Model by swkong | AlphaNeural AI
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Adapter-Phi-3-medium-128k-instruct-gptq-pubmed_unlabeled-lora-S50-E3
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Adapter-Phi-3-medium-128k-instruct-gptq-pubmed_unlabeled-lora-S50-E3
This model is a fine-tuned version of
swkong/Phi-3-medium-128k-instruct-gptq-pubmed_unlabeled
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Framework versions
PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
