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phi-3-vi-sft-1 – AI Model by mob2711 | AlphaNeural AI
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phi-3-vi-sft-1
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
microsoft/Phi-3-mini-4k-instruct
adapter
mit
us
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phi-3-vi-sft-1
This model is a fine-tuned version of
microsoft/Phi-3-mini-4k-instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0711
Model description
Fine-tuning Phi-3-4b with Vietnamese Domain, VI_LIMA and VI_Alpaca Dataset
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: 0.0002
train_batch_size: 8
eval_batch_size: 4
seed: 3407
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_steps: 5
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.4031
0.17
40
1.2004
1.1508
0.34
80
1.1312
1.1055
0.51
120
1.1002
1.0814
0.67
160
1.0820
1.0735
0.84
200
1.0711
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.16.0
Tokenizers 0.15.2
