metadata

library_name: peft
license: mit
base_model: microsoft/Phi-3-mini-128k-instruct
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: phi-3-mini-sft-indicqa-hindi-v0.1
    results: []
datasets:
  - sepiatone/ai4bharat-IndicQA-hi-202410
  - ai4bharat/IndicQA

phi-3-mini-sft-indicqa-hindi-v0.1

model description

this model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the dataset ai4bharat-IndicQA-hi-202410.

prepared by @sepiatone.

intended uses & limitations

intended for an educational and non-commercial purpose.

training procedure

training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP

library versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1