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phi-3-mini-QLoRA – AI Model by rauf8888 | AlphaNeural AI
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phi-3-mini-QLoRA
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peft
safetensors
trl
sft
generated_from_trainer
microsoft/phi-1_5
adapter
mit
us
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phi-3-mini-QLoRA
This model is a fine-tuned version of
microsoft/phi-1_5
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
0.6329
100
nan
0.0
1.2658
200
nan
0.0
1.8987
300
nan
0.0
2.5316
400
nan
Framework versions
PEFT 0.11.1
Transformers 4.45.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1
