metadata

base_model: openai/whisper-large-v3
datasets:
  - common_voice_13_0
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: whisper-large-V3-QLoRA-Cantones
    results: []

whisper-large-V3-QLoRA-Cantones

This model is a fine-tuned version of openai/whisper-large-v3 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 2.8906

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: 0.005
train_batch_size: 8
eval_batch_size: 8
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
3.0483	1.0	1753	2.8906

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1