|
--- |
|
language: |
|
- bg |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- mozilla-foundation/common_voice_7_0 |
|
- generated_from_trainer |
|
- bg |
|
- robust-speech-event |
|
- model_for_talk |
|
- hf-asr-leaderboard |
|
datasets: |
|
- mozilla-foundation/common_voice_7_0 |
|
model-index: |
|
- name: XLS-R-300M - Bulgarian |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 7 |
|
type: mozilla-foundation/common_voice_7_0 |
|
args: bg |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 46.68 |
|
- name: Test CER |
|
type: cer |
|
value: 10.75 |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Robust Speech Event - Dev Data |
|
type: speech-recognition-community-v2/dev_data |
|
args: bg |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 63.68 |
|
- name: Test CER |
|
type: cer |
|
value: 19.88 |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Robust Speech Event - Test Data |
|
type: speech-recognition-community-v2/eval_data |
|
args: bg |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 64.08 |
|
--- |
|
|
|
<!-- 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-bulgarian |
|
|
|
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 - BG dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4487 |
|
- Wer: 0.4674 |
|
|
|
## 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: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 100.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 2.9774 | 6.33 | 500 | 2.9769 | 1.0 | |
|
| 1.3453 | 12.66 | 1000 | 0.6523 | 0.6980 | |
|
| 1.1658 | 18.99 | 1500 | 0.5636 | 0.6359 | |
|
| 1.0797 | 25.32 | 2000 | 0.5004 | 0.5759 | |
|
| 1.044 | 31.65 | 2500 | 0.4958 | 0.5569 | |
|
| 0.9915 | 37.97 | 3000 | 0.4971 | 0.5350 | |
|
| 0.9429 | 44.3 | 3500 | 0.4829 | 0.5229 | |
|
| 0.9266 | 50.63 | 4000 | 0.4515 | 0.5074 | |
|
| 0.8965 | 56.96 | 4500 | 0.4599 | 0.5039 | |
|
| 0.878 | 63.29 | 5000 | 0.4735 | 0.4954 | |
|
| 0.8494 | 69.62 | 5500 | 0.4460 | 0.4878 | |
|
| 0.8343 | 75.95 | 6000 | 0.4510 | 0.4795 | |
|
| 0.8236 | 82.28 | 6500 | 0.4538 | 0.4789 | |
|
| 0.8069 | 88.61 | 7000 | 0.4526 | 0.4748 | |
|
| 0.7958 | 94.94 | 7500 | 0.4496 | 0.4700 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.16.0.dev0 |
|
- Pytorch 1.10.1+cu102 |
|
- Datasets 1.17.1.dev0 |
|
- Tokenizers 0.11.0 |
|
|
