đ wav2vec2-large-xls-r-300m-assamese
This model is a fine - tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_7_0 dataset. It offers significant value in the field of automatic speech recognition, providing a reliable solution for transcribing Assamese audio.
đ Quick Start
This model is a fine - tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_7_0 dataset.
It achieves the following results on the evaluation set:
- WER: 0.7954545454545454
- CER: 0.32341269841269843
đ Documentation
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
To compute the evaluation parameters
cd wav2vec2-large-xls-r-300m-assamese; python eval.py --model_id ./ --dataset mozilla-foundation/common_voice_7_0 --config as --split test --log_outputs
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e - 4
- train_batch_size: 16
- eval_batch_size: 8
- seed: not given
- 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: 500
- num_epochs: 400
- mixed_precision_training: Native AMP
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
Wer |
1.584065 |
NA |
400 |
1.584065 |
0.915512 |
1.658865 |
Na |
800 |
1.658865 |
0.805096 |
1.882352 |
NA |
1200 |
1.882352 |
0.820742 |
1.881240 |
NA |
1600 |
1.881240 |
0.810907 |
2.159748 |
NA |
2000 |
2.159748 |
0.804202 |
1.992871 |
NA |
2400 |
1.992871 |
0.803308 |
2.201436 |
NA |
2800 |
2.201436 |
0.802861 |
2.165218 |
NA |
3200 |
2.165218 |
0.793920 |
2.253643 |
NA |
3600 |
2.253643 |
0.796603 |
2.265880 |
NA |
4000 |
2.265880 |
0.790344 |
2.293935 |
NA |
4400 |
2.293935 |
0.797050 |
2.288851 |
NA |
4800 |
2.288851 |
0.784086 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.13.3
- Tokenizers 0.10.3
đ License
This project is licensed under the Apache - 2.0 license.
đ Model Index
Property |
Details |
Model Type |
XLS - R - 300M - Assamese |
Training Data |
mozilla - foundation/common_voice_7_0 |
Task |
Automatic Speech Recognition |
Dataset Name |
Common Voice 7 |
Dataset Type |
mozilla - foundation/common_voice_7_0 |
Dataset Args |
as |
Test WER |
72.64 |
Test CER |
27.35 |