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wav2vec2-base_toy_train_data_random_noise
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0909
- Wer: 0.7351
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: 0.0001
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.128 | 2.1 | 250 | 3.5052 | 1.0 |
| 3.0423 | 4.2 | 500 | 2.9312 | 1.0 |
| 1.4109 | 6.3 | 750 | 1.2618 | 0.8915 |
| 0.9132 | 8.4 | 1000 | 1.1074 | 0.8436 |
| 0.7146 | 10.5 | 1250 | 1.0397 | 0.7876 |
| 0.5418 | 12.6 | 1500 | 1.0359 | 0.7662 |
| 0.4649 | 14.7 | 1750 | 1.0469 | 0.7467 |
| 0.4127 | 16.8 | 2000 | 1.0655 | 0.7404 |
| 0.3881 | 18.9 | 2250 | 1.0909 | 0.7351 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6
