|
--- |
|
language: |
|
- kmr |
|
- ku |
|
- multilingual |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- mozilla-foundation/common_voice_8_0 |
|
- generated_from_trainer |
|
- kmr |
|
- robust-speech-event |
|
- model_for_talk |
|
- hf-asr-leaderboard |
|
datasets: |
|
- mozilla-foundation/common_voice_8_0 |
|
model-index: |
|
- name: Akashpb13/xlsr_kurmanji_kurdish |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: Common Voice 8 |
|
type: mozilla-foundation/common_voice_8_0 |
|
args: kmr |
|
metrics: |
|
- type: wer |
|
value: 0.33073206986250464 |
|
name: Test WER |
|
- type: cer |
|
value: 0.08035244447163924 |
|
name: Test CER |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: Robust Speech Event - Dev Data |
|
type: speech-recognition-community-v2/dev_data |
|
args: kmr |
|
metrics: |
|
- type: wer |
|
value: 0.33073206986250464 |
|
name: Test WER |
|
- type: cer |
|
value: 0.08035244447163924 |
|
name: Test CER |
|
--- |
|
|
|
# Akashpb13/xlsr_kurmanji_kurdish |
|
|
|
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 - hu dataset. |
|
It achieves the following results on the evaluation set (which is 10 percent of train data set merged with invalidated data, reported, other, and dev datasets): |
|
- Loss: 0.292389 |
|
- Wer: 0.388585 |
|
## Model description |
|
"facebook/wav2vec2-xls-r-300m" was finetuned. |
|
|
|
## Intended uses & limitations |
|
More information needed |
|
## Training and evaluation data |
|
Training data - |
|
Common voice Kurmanji Kurdish train.tsv, dev.tsv, invalidated.tsv, reported.tsv, and other.tsv |
|
Only those points were considered where upvotes were greater than downvotes and duplicates were removed after concatenation of all the datasets given in common voice 7.0 |
|
|
|
## Training procedure |
|
For creating the training dataset, all possible datasets were appended and 90-10 split was used. |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
|
|
- learning_rate: 0.000096 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 13 |
|
- gradient_accumulation_steps: 16 |
|
- lr_scheduler_type: cosine_with_restarts |
|
- lr_scheduler_warmup_steps: 200 |
|
- num_epochs: 100 |
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
| Step | Training Loss | Validation Loss | Wer | |
|
|------|---------------|-----------------|----------| |
|
| 200 | 4.382500 | 3.183725 | 1.000000 | |
|
| 400 | 2.870200 | 0.996664 | 0.781117 | |
|
| 600 | 0.609900 | 0.333755 | 0.445052 | |
|
| 800 | 0.326800 | 0.305729 | 0.403157 | |
|
| 1000 | 0.255000 | 0.290734 | 0.391621 | |
|
| 1200 | 0.226300 | 0.292389 | 0.388585 | |
|
|
|
### Framework versions |
|
- Transformers 4.16.0.dev0 |
|
- Pytorch 1.10.0+cu102 |
|
- Datasets 1.18.1 |
|
- Tokenizers 0.10.3 |
|
|
|
#### Evaluation Commands |
|
|
|
1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` |
|
|
|
```bash |
|
python eval.py --model_id Akashpb13/xlsr_kurmanji_kurdish --dataset mozilla-foundation/common_voice_8_0 --config kmr --split test |
|
``` |
|
|
|
|