File size: 4,863 Bytes
4efef42 7dd2f13 4efef42 7dd2f13 4efef42 7dd2f13 ba766d9 4efef42 cc999e0 4efef42 7dd2f13 ba766d9 7dd2f13 91b4aab 7dd2f13 ba766d9 c4a6eca ba766d9 4efef42 5d0307f 4efef42 91b4aab 4efef42 91b4aab 4efef42 91b4aab 4efef42 91b4aab 4efef42 91b4aab 4efef42 |
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 |
---
language:
- as
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- as
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: wav2vec2-large-xls-r-300m-as-g1
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 8
type: mozilla-foundation/common_voice_8_0
args: as
metrics:
- name: Test WER
type: wer
value: 0.6540934419202743
- name: Test CER
type: cer
value: 0.21454042646095625
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Robust Speech Event - Dev Data
type: speech-recognition-community-v2/dev_data
args: as
metrics:
- name: Test WER
type: wer
value: NA
- name: Test CER
type: cer
value: NA
---
<!-- 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-300m-as-g1
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_8_0 - AS dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3327
- Wer: 0.5744
### Evaluation Commands
1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-as-g1 --dataset mozilla-foundation/common_voice_8_0 --config as --split test --log_outputs
2. To evaluate on speech-recognition-community-v2/dev_data
Assamese language isn't available in speech-recognition-community-v2/dev_data
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 1000
- num_epochs: 200
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 14.1958 | 5.26 | 100 | 7.1919 | 1.0 |
| 5.0035 | 10.51 | 200 | 3.9362 | 1.0 |
| 3.6193 | 15.77 | 300 | 3.4451 | 1.0 |
| 3.4852 | 21.05 | 400 | 3.3536 | 1.0 |
| 2.8489 | 26.31 | 500 | 1.6451 | 0.9100 |
| 0.9568 | 31.56 | 600 | 1.0514 | 0.7561 |
| 0.4865 | 36.82 | 700 | 1.0434 | 0.7184 |
| 0.322 | 42.1 | 800 | 1.0825 | 0.7210 |
| 0.2383 | 47.36 | 900 | 1.1304 | 0.6897 |
| 0.2136 | 52.62 | 1000 | 1.1150 | 0.6854 |
| 0.179 | 57.87 | 1100 | 1.2453 | 0.6875 |
| 0.1539 | 63.15 | 1200 | 1.2211 | 0.6704 |
| 0.1303 | 68.41 | 1300 | 1.2859 | 0.6747 |
| 0.1183 | 73.67 | 1400 | 1.2775 | 0.6721 |
| 0.0994 | 78.92 | 1500 | 1.2321 | 0.6404 |
| 0.0991 | 84.21 | 1600 | 1.2766 | 0.6524 |
| 0.0887 | 89.46 | 1700 | 1.3026 | 0.6344 |
| 0.0754 | 94.72 | 1800 | 1.3199 | 0.6704 |
| 0.0693 | 99.97 | 1900 | 1.3044 | 0.6361 |
| 0.0568 | 105.26 | 2000 | 1.3541 | 0.6254 |
| 0.0536 | 110.51 | 2100 | 1.3320 | 0.6249 |
| 0.0529 | 115.77 | 2200 | 1.3370 | 0.6271 |
| 0.048 | 121.05 | 2300 | 1.2757 | 0.6031 |
| 0.0419 | 126.31 | 2400 | 1.2661 | 0.6172 |
| 0.0349 | 131.56 | 2500 | 1.2897 | 0.6048 |
| 0.0309 | 136.82 | 2600 | 1.2688 | 0.5962 |
| 0.0278 | 142.1 | 2700 | 1.2885 | 0.5954 |
| 0.0254 | 147.36 | 2800 | 1.2988 | 0.5915 |
| 0.0223 | 152.62 | 2900 | 1.3153 | 0.5941 |
| 0.0216 | 157.87 | 3000 | 1.2936 | 0.5937 |
| 0.0186 | 163.15 | 3100 | 1.2906 | 0.5877 |
| 0.0156 | 168.41 | 3200 | 1.3476 | 0.5962 |
| 0.0158 | 173.67 | 3300 | 1.3363 | 0.5847 |
| 0.0142 | 178.92 | 3400 | 1.3367 | 0.5847 |
| 0.0153 | 184.21 | 3500 | 1.3105 | 0.5757 |
| 0.0119 | 189.46 | 3600 | 1.3255 | 0.5705 |
| 0.0115 | 194.72 | 3700 | 1.3340 | 0.5787 |
| 0.0103 | 199.97 | 3800 | 1.3327 | 0.5744 |
### Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
|