File size: 5,124 Bytes
f79b38b
d3aab78
 
f79b38b
 
d3aab78
 
f79b38b
488d75c
 
6192b9c
f79b38b
8ec990c
f79b38b
9aecf35
ad8ff15
 
9aecf35
ad8ff15
 
 
 
 
 
9aecf35
 
 
 
 
 
7020a18
9aecf35
7020a18
 
 
 
 
 
9aecf35
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f79b38b
 
 
 
 
 
 
d3aab78
f79b38b
97f1966
d3aab78
f79b38b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d3aab78
f79b38b
 
d3aab78
 
f79b38b
 
 
d3aab78
f79b38b
 
 
 
 
 
97f1966
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f79b38b
 
 
 
 
 
 
 
488d75c
 
 
 
 
 
7020a18
 
 
 
 
488d75c
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
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
---
language:
- de
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- robust-speech-event
- de
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-300M - German
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 8
      type: mozilla-foundation/common_voice_8_0
      args: de
    metrics:
    - name: Test WER
      type: wer
      value: 15.25
    - name: Test CER
      type: cer
      value: 3.78
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Robust Speech Event - Dev Data
      type: speech-recognition-community-v2/dev_data
      args: de
    metrics:
    - name: Test WER
      type: wer
      value: 35.29
    - name: Test CER
      type: cer
      value: 13.83
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Robust Speech Event - Test Data
      type: speech-recognition-community-v2/eval_data
      args: de
    metrics:
    - name: Test WER
      type: wer
      value: 36.2
---

<!-- 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. -->

# 

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 - DE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1355
- Wer: 0.1532

## 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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 2.5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.0826        | 0.07  | 1000  | 0.4637          | 0.4654 |
| 1.118         | 0.15  | 2000  | 0.2595          | 0.2687 |
| 1.1268        | 0.22  | 3000  | 0.2635          | 0.2661 |
| 1.0919        | 0.29  | 4000  | 0.2417          | 0.2566 |
| 1.1013        | 0.37  | 5000  | 0.2414          | 0.2567 |
| 1.0898        | 0.44  | 6000  | 0.2546          | 0.2731 |
| 1.0808        | 0.51  | 7000  | 0.2399          | 0.2535 |
| 1.0719        | 0.59  | 8000  | 0.2353          | 0.2528 |
| 1.0446        | 0.66  | 9000  | 0.2427          | 0.2545 |
| 1.0347        | 0.73  | 10000 | 0.2266          | 0.2402 |
| 1.0457        | 0.81  | 11000 | 0.2290          | 0.2448 |
| 1.0124        | 0.88  | 12000 | 0.2295          | 0.2448 |
| 1.025         | 0.95  | 13000 | 0.2138          | 0.2345 |
| 1.0107        | 1.03  | 14000 | 0.2108          | 0.2294 |
| 0.9758        | 1.1   | 15000 | 0.2019          | 0.2204 |
| 0.9547        | 1.17  | 16000 | 0.2000          | 0.2178 |
| 0.986         | 1.25  | 17000 | 0.2018          | 0.2200 |
| 0.9588        | 1.32  | 18000 | 0.1992          | 0.2138 |
| 0.9413        | 1.39  | 19000 | 0.1898          | 0.2049 |
| 0.9339        | 1.47  | 20000 | 0.1874          | 0.2056 |
| 0.9268        | 1.54  | 21000 | 0.1797          | 0.1976 |
| 0.9194        | 1.61  | 22000 | 0.1743          | 0.1905 |
| 0.8987        | 1.69  | 23000 | 0.1738          | 0.1932 |
| 0.8884        | 1.76  | 24000 | 0.1703          | 0.1873 |
| 0.8939        | 1.83  | 25000 | 0.1633          | 0.1831 |
| 0.8629        | 1.91  | 26000 | 0.1549          | 0.1750 |
| 0.8607        | 1.98  | 27000 | 0.1550          | 0.1738 |
| 0.8316        | 2.05  | 28000 | 0.1512          | 0.1709 |
| 0.8321        | 2.13  | 29000 | 0.1481          | 0.1657 |
| 0.825         | 2.2   | 30000 | 0.1446          | 0.1627 |
| 0.8115        | 2.27  | 31000 | 0.1396          | 0.1583 |
| 0.7959        | 2.35  | 32000 | 0.1389          | 0.1569 |
| 0.7835        | 2.42  | 33000 | 0.1362          | 0.1545 |
| 0.7959        | 2.49  | 34000 | 0.1355          | 0.1531 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0

#### Evaluation Commands
1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test`

```bash
python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-1B-german --dataset mozilla-foundation/common_voice_8_0 --config de --split test --log_outputs
```

2. To evaluate on test dev data
```bash
python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-1B-german --dataset speech-recognition-community-v2/dev_data --config de --split validation --chunk_length_s 5.0 --stride_length_s 1.0
```