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phi-3-mini-QLoRA – AI Model by skytin1004 | AlphaNeural AI
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phi-3-mini-QLoRA
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peft
safetensors
trl
sft
generated_from_trainer
microsoft/Phi-3-mini-4k-instruct
adapter
mit
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phi-3-mini-QLoRA
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: 1.0398
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: 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
1.1373
0.8097
100
1.0596
1.0443
1.6194
200
1.0443
1.0267
2.4291
300
1.0398
Framework versions
PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
