Hugging Face's logo

KevinKibe
/
whisper-large-v3-finetuned

PEFT
Safetensors
Generated from Trainer
Model card Files Community
whisper-large-v3-finetuned / README.md
KevinKibe's picture
KevinKibe
Training in progress, step 100
35b0cd5 verified
preview code
|
raw
history blame
2.7 kB
metadata
base_model: openai/whisper-large-v3
datasets:
  - common_voice_16_1
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: whisper-large-v3-finetuned
    results: []

Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases

whisper-large-v3-finetuned

This model is a fine-tuned version of openai/whisper-large-v3 on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 2.3416
  • eval_wer: 141.3793
  • eval_runtime: 216.593
  • eval_samples_per_second: 0.046
  • eval_steps_per_second: 0.014
  • epoch: 7.09
  • step: 100

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 10
  • training_steps: 100
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1