Hugging Face's logo

Akashpb13
/
Central_kurdish_xlsr

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Central Kurdish
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results
Inference Endpoints
Model card Files Community
4
Central_kurdish_xlsr
File size: 4,737 Bytes 
a6f874f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16728ee
a6f874f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16728ee
a6f874f
 
 
 
 
 
 
 
 
 
 
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
 
---
language:
- ckb
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- ckb
- robust-speech-event
- model_for_talk
datasets:
- mozilla-foundation/common_voice_8_0

model-index:
- name: Akashpb13/Central_kurdish_xlsr
  results:
  - task: 
      name: Automatic Speech Recognition 
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 8
      type: mozilla-foundation/common_voice_8_0
      args: ckb
    metrics:
       - name: Test WER
         type: wer
         value: 0.36754389884276845
       - name: Test CER
         type: cer
         value: 0.07827896768334217
  - task: 
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Robust Speech Event - Dev Data
      type: speech-recognition-community-v2/dev_data
      args: ckb
    metrics:
       - name: Test WER
         type: wer
         value: 0.36754389884276845
       - name: Test CER
         type: cer
         value: 0.07827896768334217
---

# Akashpb13/Central_kurdish_xlsr

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 - hu dataset.
It achieves the following results on evaluation set (which is 10 percent of train data set merged with invalidated data, reported, other and dev datasets):
- Loss: 0.348580	
- Wer: 0.401147

## Model description
"facebook/wav2vec2-xls-r-300m" was finetuned.

## Intended uses & limitations
More information needed
## Training and evaluation data
Training data - 
Common voice Central Kurdish train.tsv, dev.tsv, invalidated.tsv, reported.tsv, and other.tsv 
Only those points were considered where upvotes were greater than downvotes and duplicates were removed after concatenation of all the datasets given in common voice 7.0

## 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: 0.000095637994662983496
- train_batch_size: 16
- eval_batch_size: 16
- seed: 13
- gradient_accumulation_steps: 2
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 200
- num_epochs: 100
- mixed_precision_training: Native AMP


### Training results

| Step  | Training Loss | Validation Loss | Wer      |
|-------|---------------|-----------------|----------|
| 500   | 5.097800      | 2.190326        | 1.001207 |
| 1000  | 0.797500      | 0.331392        | 0.576819 |
| 1500  | 0.405100      | 0.262009        | 0.549049 |
| 2000  | 0.322100      | 0.248178        | 0.479626 |
| 2500  | 0.264600      | 0.258866        | 0.488983 |
| 3000  | 0.228300      | 0.261523        | 0.469665 |
| 3500  | 0.201000      | 0.270135        | 0.451856 |
| 4000  | 0.180900      | 0.279302        | 0.448536 |
| 4500  | 0.163800      | 0.280921        | 0.459704 |
| 5000  | 0.147300      | 0.319249        | 0.471778 |
| 5500  | 0.137600      | 0.289546        | 0.449140 |
| 6000  | 0.132000      | 0.311350        | 0.458195 |
| 6500  | 0.117100      | 0.316726        | 0.432840 |
| 7000  | 0.109200      | 0.302210        | 0.439481 |
| 7500  | 0.104900      | 0.325913        | 0.439481 |
| 8000  | 0.097500      | 0.329446        | 0.431935 |
| 8500  | 0.088600      | 0.345259        | 0.425898 |
| 9000  | 0.084900      | 0.342891        | 0.428313 |
| 9500  | 0.080900      | 0.353081        | 0.424389 |
| 10000 | 0.075600      | 0.347063        | 0.424992 |
| 10500 | 0.072800      | 0.330086        | 0.424691 |
| 11000 | 0.068100      | 0.350658        | 0.421974 |
| 11500 | 0.064700      | 0.342949        | 0.413522 |
| 12000 | 0.061500      | 0.341704        | 0.415334 |
| 12500 | 0.059500      | 0.346279        | 0.411410 |
| 13000 | 0.057400      | 0.349901        | 0.407184 |
| 13500 | 0.056400      | 0.347733        | 0.402656 |
| 14000 | 0.053300      | 0.344899        | 0.405976 |
| 14500 | 0.052900      | 0.346708        | 0.402656 |
| 15000 | 0.050600      | 0.344118        | 0.400845 |
| 15500 | 0.050200      | 0.348396        | 0.402958 |
| 16000 | 0.049800      | 0.348312        | 0.401751 |
| 16500 | 0.051900      | 0.348372        | 0.401147 |
| 17000 | 0.049800      | 0.348580        | 0.401147 |

     

### Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.18.1
- 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 Akashpb13/Central_kurdish_xlsr --dataset mozilla-foundation/common_voice_8_0 --config ckb --split test
```