metadata

library_name: transformers
license: mit
base_model: microsoft/Phi-4-mini-instruct
tags:
  - generated_from_trainer
model-index:
  - name: phi-4-gec-bea2019
    results: []

phi-4-gec-bea2019

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on an unknown dataset.

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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3

Training results

Framework versions

Transformers 4.50.3
Pytorch 2.1.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1