|
--- |
|
language: |
|
- sw |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- generated_from_trainer |
|
- hf-asr-leaderboard |
|
- model_for_talk |
|
- mozilla-foundation/common_voice_8_0 |
|
- robust-speech-event |
|
- sw |
|
datasets: |
|
- mozilla-foundation/common_voice_8_0 |
|
base_model: facebook/wav2vec2-xls-r-300m |
|
model-index: |
|
- name: Akashpb13/Swahili_xlsr |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: Common Voice 8 |
|
type: mozilla-foundation/common_voice_8_0 |
|
args: sw |
|
metrics: |
|
- type: wer |
|
value: 0.11763625454589981 |
|
name: Test WER |
|
- type: cer |
|
value: 0.02884228669922436 |
|
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: 0.11763625454589981 |
|
name: Test WER |
|
- type: cer |
|
value: 0.02884228669922436 |
|
name: Test CER |
|
--- |
|
|
|
# Akashpb13/Swahili_xlsr |
|
|
|
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 dev datasets): |
|
- Loss: 0.159032 |
|
- Wer: 0.187934 |
|
## Model description |
|
"facebook/wav2vec2-xls-r-300m" was finetuned. |
|
|
|
## Intended uses & limitations |
|
More information needed |
|
## Training and evaluation data |
|
Training data - |
|
Common voice Hausa train.tsv and dev.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: 2 |
|
- lr_scheduler_type: cosine_with_restarts |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 80 |
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
| Step | Training Loss | Validation Loss | Wer | |
|
|------|---------------|-----------------|----------| |
|
| 500 | 4.810000 | 2.168847 | 0.995747 | |
|
| 1000 | 0.564200 | 0.209411 | 0.303485 | |
|
| 1500 | 0.217700 | 0.153959 | 0.239534 | |
|
| 2000 | 0.150700 | 0.139901 | 0.216327 | |
|
| 2500 | 0.119400 | 0.137543 | 0.208828 | |
|
| 3000 | 0.099500 | 0.140921 | 0.203045 | |
|
| 3500 | 0.087100 | 0.138835 | 0.199649 | |
|
| 4000 | 0.074600 | 0.141297 | 0.195844 | |
|
| 4500 | 0.066600 | 0.148560 | 0.194127 | |
|
| 5000 | 0.060400 | 0.151214 | 0.194388 | |
|
| 5500 | 0.054400 | 0.156072 | 0.192187 | |
|
| 6000 | 0.051100 | 0.154726 | 0.190322 | |
|
| 6500 | 0.048200 | 0.159847 | 0.189538 | |
|
| 7000 | 0.046400 | 0.158727 | 0.188307 | |
|
| 7500 | 0.046500 | 0.159032 | 0.187934 | |
|
|
|
|
|
### Framework versions |
|
- Transformers 4.16.0.dev0 |
|
- Pytorch 1.10.0+cu102 |
|
- Datasets 1.18.3 |
|
- 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/Swahili_xlsr --dataset mozilla-foundation/common_voice_8_0 --config sw --split test |
|
``` |
|
|
|
|
