README.md

metadata

language:
  - nan
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_16_1
base_model: openai/whisper-small
model-index:
  - name: Whisper small Taiwanese - LoRA
    results: []

Whisper small Taiwanese - LoRA

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:

• Loss: 0.9143

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0204	1.0	2572	1.0091
0.8829	2.0	5144	0.9143

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.2.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2