|
--- |
|
language: et |
|
datasets: |
|
- mozilla-foundation/common_voice_8_0 |
|
metrics: |
|
- wer |
|
- cer |
|
tags: |
|
- generated_from_trainer |
|
- mozilla-foundation/common_voice_8_0 |
|
- audio |
|
- automatic-speech-recognition |
|
- speech |
|
- robust-speech-event |
|
- hf-asr-leaderboard |
|
model-index: |
|
- name: XLS-R 1B Wav2Vec2 Estonian by Rasmus Toivanen |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 8 |
|
type: mozilla-foundation/common_voice_8_0 |
|
args: et |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 20.12 |
|
- name: Test CER |
|
type: cer |
|
value: 3.82 |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Robust Speech Event - Dev Data |
|
type: speech-recognition-community-v2/dev_data |
|
args: et |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 40.77 |
|
- name: Test CER |
|
type: cer |
|
value: 12.32 |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Robust Speech Event - Test Data |
|
type: speech-recognition-community-v2/eval_data |
|
args: et |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 41.97 |
|
--- |
|
<!-- 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-xlsr-et-lm-1B |
|
|
|
This model was finetuned with mozilla_foundation/common_voice_8_0 et with train+other+validation splits. |
|
It achieves the following results on the test set: |
|
(Loss reported with last eval step at step 2000/2040 during training) |
|
- Loss: 0.2150 |
|
- Wer: 0.2012 |
|
|
|
## 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: 0.00005 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 1 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0.dev0 |
|
- Pytorch 1.10.2+cu102 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.11.0 |
|
|
