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dys_asr_10min_rub
This model is a fine-tuned version of Splend1dchan/wav2vec2-large-10min-lv60-self on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0359
- Wer: 0.9969
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 12.8427 | 0.79 | 500 | 2.4894 | 1.0 |
| 1.4059 | 1.58 | 1000 | 0.2969 | 1.1495 |
| 0.425 | 2.37 | 1500 | 0.1267 | 1.0623 |
| 0.2377 | 3.16 | 2000 | 0.0781 | 1.0374 |
| 0.1148 | 3.95 | 2500 | 0.0393 | 1.0062 |
| 0.1136 | 4.74 | 3000 | 0.0432 | 1.0031 |
| 0.0987 | 5.53 | 3500 | 0.0411 | 0.9969 |
| 0.0746 | 6.32 | 4000 | 0.0359 | 0.9969 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2
