metadata

base_model: openai/whisper-large-v3
datasets:
  - '-'
language:
  - id
library_name: peft
tags:
  - id-asr-leaderboard
  - generated_from_trainer
model-index:
  - name: zeon8985army/IndonesiaLukasLargeV3_higherLR
    results: []

zeon8985army/IndonesiaLukasLargeV3_higherLR

This model is a fine-tuned version of zeon8985army/IndonesiaLukasLargeV3_higherLR on the Mozilla & GoogleFleur dataset. It achieves the following results on the evaluation set:

Loss: 0.1587

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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.389	0.2907	100	0.2098
0.1724	0.5814	200	0.1748
0.147	0.8721	300	0.1587

Framework versions

PEFT 0.9.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1