metadata

language:
  - th
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: Whisper Large V3 Thai - Magi Boss
    results: []
pipeline_tag: automatic-speech-recognition
library_name: transformers

Whisper Large V3 Thai - Magi Boss

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 11.0 dataset.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 750
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1