|
--- |
|
language: |
|
- ba |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- mozilla-foundation/common_voice_7_0 |
|
- generated_from_trainer |
|
- robust-speech-event |
|
datasets: |
|
- common_voice |
|
model-index: |
|
- name: wav2vec2-large-xls-r-300m-bashkir-cv7_opt |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 7 |
|
type: mozilla-foundation/common_voice_7_0 |
|
args: ba |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 9.2451 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# wav2vec2-large-xls-r-300m-bashkir-cv7_opt |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - BA dataset. |
|
It achieves the following results on the evaluation set: |
|
- Training Loss: 0.307100 |
|
- Validation Loss: 0.118680 |
|
- Wer: 0.092451 |
|
|
|
|
|
## Model description |
|
|
|
Trained with this [jupiter notebook](https://drive.google.com/file/d/1KohDXZtKBWXVPZYlsLtqfxJGBzKmTtSh/view?usp=sharing) |
|
|
|
|
|
|
|
## Intended uses & limitations |
|
|
|
In order to reduce the number of characters, the following letters have been replaced or removed: |
|
|
|
- 'я' -> 'йа' |
|
- 'ю' -> 'йу' |
|
- 'ё' -> 'йо' |
|
- 'е' -> 'йэ' for first letter |
|
- 'е' -> 'э' for other cases |
|
- 'ъ' -> deleted |
|
- 'ь' -> deleted |
|
|
|
Therefore, in order to get the correct text, you need to do the reverse transformation and use the language model. |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 300 |
|
- num_epochs: 50 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.16.1 |
|
- Pytorch 1.10.0+cu113 |
|
- Datasets 1.18.2 |
|
- Tokenizers 0.10.3 |
|
|
