med_v1_M01_1e-05
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2024
- Wer: 1.0
- Cer: 0.9785
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: 1e-05
- train_batch_size: 20
- 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: 13500
- num_epochs: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 47.8457 | 200.0 | 27000 | 3.4905 | 1.0 | 0.9851 |
| 3.3161 | 400.0 | 54000 | 3.4257 | 1.0 | 0.9851 |
| 3.1908 | 600.0 | 81000 | 3.3574 | 1.0 | 0.9851 |
| 3.072 | 800.0 | 108000 | 3.2488 | 1.0 | 0.9851 |
| 2.9895 | 1000.0 | 135000 | 3.2019 | 1.0 | 0.9851 |
| 2.9343 | 1200.0 | 162000 | 3.1951 | 1.0 | 0.9835 |
| 2.8974 | 1400.0 | 189000 | 3.1969 | 1.0 | 0.9818 |
| 2.8738 | 1600.0 | 216000 | 3.2007 | 1.0 | 0.9818 |
| 2.8588 | 1800.0 | 243000 | 3.2020 | 1.0 | 0.9785 |
| 2.852 | 2000.0 | 270000 | 3.2024 | 1.0 | 0.9785 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
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