w2v2-base-pretrained_lr5e-5_at0.8_da0.025
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: 3.9947
- Wer: 1.0205
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: 5e-05
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 36.9594 | 125.0 | 250 | 12.4193 | 1.0 |
| 5.8739 | 250.0 | 500 | 3.2963 | 1.0 |
| 3.1532 | 375.0 | 750 | 3.1231 | 1.0 |
| 3.0639 | 500.0 | 1000 | 3.1060 | 1.0 |
| 3.013 | 625.0 | 1250 | 3.1074 | 1.0 |
| 2.9755 | 750.0 | 1500 | 3.1334 | 1.0 |
| 2.94 | 875.0 | 1750 | 3.1535 | 1.0 |
| 2.8802 | 1000.0 | 2000 | 3.0883 | 1.0 |
| 2.474 | 1125.0 | 2250 | 2.8111 | 1.0009 |
| 1.3378 | 1250.0 | 2500 | 3.0612 | 1.0038 |
| 0.7759 | 1375.0 | 2750 | 3.4681 | 1.0068 |
| 0.594 | 1500.0 | 3000 | 3.6791 | 1.0337 |
| 0.5034 | 1625.0 | 3250 | 3.8161 | 1.0226 |
| 0.4518 | 1750.0 | 3500 | 3.8285 | 1.0081 |
| 0.4139 | 1875.0 | 3750 | 3.9486 | 1.0201 |
| 0.3953 | 2000.0 | 4000 | 3.9947 | 1.0205 |
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