language: | |
- en | |
license: apache-2.0 | |
tags: | |
- hf-asr-leaderboard | |
- generated_from_trainer | |
datasets: | |
- mozilla-foundation/common_voice_11_0 | |
model-index: | |
- name: whisper-small-en | |
results: [] | |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
should probably proofread and complete it, then remove this comment. --> | |
# whisper-small-en | |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. | |
## 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: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- lr_scheduler_warmup_steps: 500 | |
- training_steps: 4000 | |
- mixed_precision_training: Native AMP | |
### Framework versions | |
- Transformers 4.28.0.dev0 | |
- Pytorch 1.13.1+cu116 | |
- Datasets 2.10.1 | |
- Tokenizers 0.13.2 | |