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---
language:
- tt
license: apache-2.0
tags:
- hf-asr-leaderboard
- whisper-event
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Tatar - Kirill Milintsevich
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 11.0
type: mozilla-foundation/common_voice_11_0
args: 'Config: tt'
metrics:
- name: Wer
type: wer
value: 29.091166477916197
---
# Whisper Small Tatar - Kirill Milintsevich
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4745
- Wer: 29.1407
## 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: 64
- 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: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0415 | 4.98 | 1000 | 0.3252 | 29.9512 |
| 0.0041 | 9.95 | 2000 | 0.3982 | 29.4805 |
| 0.0007 | 14.93 | 3000 | 0.4457 | 29.1513 |
| 0.0003 | 19.9 | 4000 | 0.4665 | 29.0912 |
| 0.0002 | 24.88 | 5000 | 0.4745 | 29.1407 | |