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Phi-4-mini-instruct_sft_sg_values_resp_split

Name: Phi-4-mini-instruct_sft_sg_values_resp_split
Rating: 2.5 (6 reviews)

generated_from_trainer

microsoft/Phi-4-mini-instruct

adapter

mit

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Phi-4-mini-instruct_sft_sg_values_resp_split

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

Loss: 2.3214

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
4.3698	0.1710	250	4.1731
3.5096	0.3419	500	3.1497
2.6213	0.5129	750	2.5736
2.4305	0.6839	1000	2.3980
2.3653	0.8548	1250	2.3345

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_resp_split

Phi-4-mini-instruct_sft_sg_values_resp_split

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_resp_split