đ wav2vec2-base_toy_train_data_augment_0.1
This model is a fine - tuned version of facebook/wav2vec2-base on the None dataset. It offers evaluation results such as a loss of 3.3786 and a WER of 0.9954, providing a basis for speech - related tasks.
đ Quick Start
This model is a fine - tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
đ Documentation
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
đ§ Technical Details
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e - 08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
Wer |
3.1342 |
1.05 |
250 |
3.3901 |
0.9954 |
3.0878 |
2.1 |
500 |
3.4886 |
0.9954 |
3.0755 |
3.15 |
750 |
3.4616 |
0.9954 |
3.0891 |
4.2 |
1000 |
3.5316 |
0.9954 |
3.0724 |
5.25 |
1250 |
3.2608 |
0.9954 |
3.0443 |
6.3 |
1500 |
3.3881 |
0.9954 |
3.0421 |
7.35 |
1750 |
3.4507 |
0.9954 |
3.0448 |
8.4 |
2000 |
3.4525 |
0.9954 |
3.0455 |
9.45 |
2250 |
3.3342 |
0.9954 |
3.0425 |
10.5 |
2500 |
3.3385 |
0.9954 |
3.0457 |
11.55 |
2750 |
3.4411 |
0.9954 |
3.0375 |
12.6 |
3000 |
3.4459 |
0.9954 |
3.0459 |
13.65 |
3250 |
3.3883 |
0.9954 |
3.0455 |
14.7 |
3500 |
3.3417 |
0.9954 |
3.0524 |
15.75 |
3750 |
3.3908 |
0.9954 |
3.0443 |
16.81 |
4000 |
3.3932 |
0.9954 |
3.0446 |
17.86 |
4250 |
3.4052 |
0.9954 |
3.0412 |
18.91 |
4500 |
3.3776 |
0.9954 |
3.0358 |
19.96 |
4750 |
3.3786 |
0.9954 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6
đ License
The model is licensed under the Apache - 2.0 license.