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Incomple/
Phi-4-mini-instruct_sft_sg_values

generated_from_trainer

microsoft/Phi-4-mini-instruct

adapter

mit

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Phi-4-mini-instruct_sft_sg_values

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on the sft_sg_values dataset. It achieves the following results on the evaluation set:

Loss: 2.3848

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: 1e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
4.3614	0.1869	250	4.1655
3.3914	0.3738	500	3.1697
2.684	0.5607	750	2.6262
2.5099	0.7477	1000	2.4442
2.3706	0.9346	1250	2.3880

Framework versions

PEFT 0.15.2
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.1

Incomple/Phi-4-mini-instruct_sft_sg_values

Phi-4-mini-instruct_sft_sg_values

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Incomple/
Phi-4-mini-instruct_sft_sg_values