metadata

license: other
base_model: microsoft/phi-2
tags:
  - llama-factory
  - generated_from_trainer
model-index:
  - name: _saves_phi-2_full
    results: []

_saves_phi-2_full

This model is a fine-tuned version of phi-2 on the kqa_parsed-tree_train_complex.json 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: 7e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.36.2
Pytorch 1.11.0+cu113
Datasets 2.16.1
Tokenizers 0.15.0