metadata

language:
  - vi
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - hllj/vi_grade_school_math_mcq
base_model: vilm/vinallama-7b-chat
model-index:
  - name: vilm/vinallama-7b-chat
    results: []

whisper_vi_nam

This model is a fine-tuned version of [vilm/vinallama-7b-chat] on the hllj/vi_grade_school_math_mcq 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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.8.2
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2