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---
language:
- en
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small English
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 en
type: mozilla-foundation/common_voice_11_0
config: en
split: test
args: en
metrics:
- name: Wer
type: wer
value: 12.021334704238024
---
<!-- 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 English
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 en dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3107
- Wer: 12.0213
## 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: 32
- eval_batch_size: 16
- 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: 40000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.1577 | 0.06 | 2500 | 0.4077 | 16.2349 |
| 0.2244 | 0.12 | 5000 | 0.3698 | 14.7325 |
| 0.3231 | 0.19 | 7500 | 0.3434 | 13.7448 |
| 0.2536 | 0.25 | 10000 | 0.3406 | 13.4981 |
| 0.2234 | 0.31 | 12500 | 0.3510 | 14.1304 |
| 0.1989 | 0.38 | 15000 | 0.3388 | 13.6394 |
| 0.2449 | 0.44 | 17500 | 0.3394 | 13.4293 |
| 0.2302 | 0.5 | 20000 | 0.3198 | 12.5020 |
| 0.213 | 0.56 | 22500 | 0.3167 | 12.4904 |
| 0.2395 | 0.62 | 25000 | 0.3145 | 12.7533 |
| 0.1152 | 0.69 | 27500 | 0.3181 | 12.6087 |
| 0.0901 | 1.01 | 30000 | 0.3134 | 12.3240 |
| 0.1595 | 1.07 | 32500 | 0.3107 | 12.0213 |
| 0.1249 | 1.13 | 35000 | 0.3131 | 12.0869 |
| 0.1404 | 1.2 | 37500 | 0.3117 | 12.4635 |
| 0.1812 | 1.26 | 40000 | 0.3104 | 12.1415 |
### Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.1.dev0
- Tokenizers 0.13.2
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