w2v2-base-pretrained_lr1e-4_at0.8_da0.1
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: 17.4872
- Wer: 1.0
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: 32
- 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
- training_steps: 3500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 37.4028 | 50.0 | 250 | 20.8788 | 1.0 |
| 15.6492 | 100.0 | 500 | 19.7127 | 1.0 |
| 16.1334 | 150.0 | 750 | 20.9635 | 1.0 |
| 20.9127 | 200.0 | 1000 | 17.5870 | 1.0 |
| 18.6712 | 250.0 | 1250 | 17.4758 | 1.0 |
| 18.5148 | 300.0 | 1500 | 17.4736 | 1.0 |
| 18.4769 | 350.0 | 1750 | 17.4742 | 1.0 |
| 18.5946 | 400.0 | 2000 | 17.5825 | 1.0 |
| 18.4632 | 450.0 | 2250 | 17.4559 | 1.0 |
| 18.3947 | 500.0 | 2500 | 17.4270 | 1.0 |
| 18.573 | 550.0 | 2750 | 17.5461 | 1.0 |
| 18.4756 | 600.0 | 3000 | 17.5971 | 1.0 |
| 18.4707 | 650.0 | 3250 | 17.5327 | 1.0 |
| 18.5019 | 700.0 | 3500 | 17.4872 | 1.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
facebook/wav2vec2-base