|
--- |
|
language: |
|
- kmr |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- generated_from_trainer |
|
- hf-asr-leaderboard |
|
- kmr |
|
- model_for_talk |
|
- mozilla-foundation/common_voice_7_0 |
|
- robust-speech-event |
|
datasets: |
|
- mozilla-foundation/common_voice_7_0 |
|
model-index: |
|
- name: XLS-R-300M - Kurmanji Kurdish |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 7 |
|
type: mozilla-foundation/common_voice_7_0 |
|
args: kmr |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 102.308 |
|
- name: Test CER |
|
type: cer |
|
value: 538.748 |
|
--- |
|
|
|
<!-- 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-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 - KMR dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2548 |
|
- Wer: 0.2688 |
|
|
|
## 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: 7e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 2000 |
|
- num_epochs: 100.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 1.3161 | 12.27 | 2000 | 0.4199 | 0.4797 | |
|
| 1.0643 | 24.54 | 4000 | 0.2982 | 0.3721 | |
|
| 0.9718 | 36.81 | 6000 | 0.2762 | 0.3333 | |
|
| 0.8772 | 49.08 | 8000 | 0.2586 | 0.3051 | |
|
| 0.8236 | 61.35 | 10000 | 0.2575 | 0.2865 | |
|
| 0.7745 | 73.62 | 12000 | 0.2603 | 0.2816 | |
|
| 0.7297 | 85.89 | 14000 | 0.2539 | 0.2727 | |
|
| 0.7079 | 98.16 | 16000 | 0.2554 | 0.2681 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.16.0.dev0 |
|
- Pytorch 1.10.1+cu102 |
|
- Datasets 1.17.1.dev0 |
|
- Tokenizers 0.11.0 |
|
|
