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phi-3-mini-LoRA – AI Model by wenlianghuang | AlphaNeural AI
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phi-3-mini-LoRA
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peft
safetensors
trl
sft
generated_from_trainer
microsoft/Phi-3-mini-4k-instruct
adapter
mit
us
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phi-3-mini-LoRA
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6488
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.8273
0.8403
100
1.6628
1.7507
1.6807
200
1.6519
1.7349
2.5210
300
1.6488
Framework versions
PEFT 0.11.1
Transformers 4.44.2
Pytorch 2.4.1+cu124
Datasets 2.20.0
Tokenizers 0.19.1
