File size: 2,757 Bytes
df365f7 e2ebe21 4df00e4 df365f7 4df00e4 8536e2e 4df00e4 df365f7 a9d8373 4df00e4 3782e8f df365f7 4df00e4 e2ebe21 4df00e4 e2ebe21 3782e8f e2ebe21 4df00e4 e2ebe21 3782e8f e2ebe21 3782e8f e2ebe21 3782e8f e2ebe21 3782e8f e2ebe21 3782e8f e2ebe21 3782e8f df365f7 |
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 |
---
language:
- id
license: apache-2.0
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
metrics:
- wer
- cer
base_model: facebook/wav2vec2-xls-r-1b
model-index:
- name: wav2vec2-large-xls-r-1b-Indonesian
results:
- task:
type: automatic-speech-recognition
name: Speech Recognition
dataset:
name: Common Voice id
type: mozilla-foundation/common_voice_8_0
args: id
metrics:
- type: wer
value: 45.51
name: Test WER
- type: cer
value: 16.43
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: id
metrics:
- type: wer
value: 72.73
name: Test WER
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Robust Speech Event - Test Data
type: speech-recognition-community-v2/eval_data
args: id
metrics:
- type: wer
value: 79.29
name: Test WER
---
<!-- 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-1b-Indonesian
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9550
- Wer: 0.4551
- Cer: 0.1643
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 3.663 | 7.69 | 200 | 0.7898 | 0.6039 | 0.1848 |
| 0.7424 | 15.38 | 400 | 1.0215 | 0.5615 | 0.1924 |
| 0.4494 | 23.08 | 600 | 1.0901 | 0.5249 | 0.1932 |
| 0.5075 | 30.77 | 800 | 1.1013 | 0.5079 | 0.1935 |
| 0.4671 | 38.46 | 1000 | 1.1034 | 0.4916 | 0.1827 |
| 0.1928 | 46.15 | 1200 | 0.9550 | 0.4551 | 0.1643 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0
|