File size: 3,642 Bytes
ccb8843 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 |
---
language:
- rm-sursilv
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- rm-sursilv
- robust-speech-event
- model_for_talk
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: sammy786/wav2vec2-xlsr-romansh_sursilvan
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 8
type: mozilla-foundation/common_voice_8_0
args: rm-sursilv
metrics:
- name: Test WER
type: wer
value: 13.82
- name: Test CER
type: cer
value: 3.02
---
# sammy786/wav2vec2-xlsr-romansh_sursilvan
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - rm-sursilv dataset.
It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
- Loss: 16.38
- Wer: 21.25
## Model description
"facebook/wav2vec2-xls-r-1b" was finetuned.
## Intended uses & limitations
More information needed
## Training and evaluation data
Training data -
Common voice Finnish train.tsv, dev.tsv and other.tsv
## Training procedure
For creating the train dataset, all possible datasets were appended and 90-10 split was used.
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.000045637994662983496
- train_batch_size: 16
- eval_batch_size: 16
- seed: 13
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Step | Training Loss | Validation Loss | Wer |
|------|---------------|-----------------|----------|
| 200 | 4.825500 | 2.932350 | 1.000000 |
| 400 | 1.325600 | 0.292645 | 0.415436 |
| 600 | 0.709800 | 0.219167 | 0.324451 |
| 800 | 0.576800 | 0.174390 | 0.275477 |
| 1000 | 0.538100 | 0.183737 | 0.272116 |
| 1200 | 0.475200 | 0.159078 | 0.253871 |
| 1400 | 0.420400 | 0.167277 | 0.240907 |
| 1600 | 0.393500 | 0.167216 | 0.247269 |
| 1800 | 0.407500 | 0.178282 | 0.239827 |
| 2000 | 0.374400 | 0.184590 | 0.239467 |
| 2200 | 0.382600 | 0.164106 | 0.227824 |
| 2400 | 0.363100 | 0.162543 | 0.228544 |
| 2600 | 0.199000 | 0.172903 | 0.231665 |
| 2800 | 0.150800 | 0.160117 | 0.222662 |
| 3000 | 0.101100 | 0.169553 | 0.222662 |
| 3200 | 0.104200 | 0.161056 | 0.220622 |
| 3400 | 0.096900 | 0.161562 | 0.216781 |
| 3600 | 0.092200 | 0.163880 | 0.212580 |
| 3800 | 0.089200 | 0.162288 | 0.214140 |
| 4000 | 0.076200 | 0.160470 | 0.213540 |
| 4200 | 0.087900 | 0.162827 | 0.213060 |
| 4400 | 0.066200 | 0.161096 | 0.213300 |
| 4600 | 0.076000 | 0.162060 | 0.213660 |
| 4800 | 0.071400 | 0.162045 | 0.213300 |
### Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.17.1.dev0
- 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 sammy786/wav2vec2-xlsr-romansh_sursilvan --dataset mozilla-foundation/common_voice_8_0 --config rm-sursilv --split test
``` |