metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
model-index:
- name: whisper-small-dv
results: []
language:
- dv
metrics:
- wer
base_model:
- openai/whisper-small
pipeline_tag: automatic-speech-recognition
library_name: transformers
whisper-small-dv
This model is a fine-tuned version of openai/whisper-small on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1738
- eval_wer_ortho: 63.4601
- eval_wer: 13.5049
- eval_runtime: 1410.3372
- eval_samples_per_second: 1.571
- eval_steps_per_second: 0.099
- epoch: 1.63
- step: 500
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: 1e-05
- 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.28.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.13.3