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wav2vec2-7
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: 0.6017
- Wer: 0.5200
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: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.1311 | 1.56 | 200 | 2.9839 | 1.0 |
| 2.5727 | 3.12 | 400 | 1.4962 | 1.0209 |
| 1.0187 | 4.69 | 600 | 0.7562 | 0.7859 |
| 0.637 | 6.25 | 800 | 0.6529 | 0.6960 |
| 0.4847 | 7.81 | 1000 | 0.6609 | 0.6745 |
| 0.3952 | 9.38 | 1200 | 0.5808 | 0.6220 |
| 0.3343 | 10.94 | 1400 | 0.5622 | 0.6004 |
| 0.2897 | 12.5 | 1600 | 0.8842 | 0.5980 |
| 0.2549 | 14.06 | 1800 | 0.6047 | 0.5765 |
| 0.2334 | 15.62 | 2000 | 0.6436 | 0.5699 |
| 0.2144 | 17.19 | 2200 | 0.5831 | 0.5593 |
| 0.1982 | 18.75 | 2400 | 0.6327 | 0.5620 |
| 0.1817 | 20.31 | 2600 | 0.8790 | 0.5456 |
| 0.1713 | 21.88 | 2800 | 0.9603 | 0.5362 |
| 0.163 | 23.44 | 3000 | 0.5940 | 0.5384 |
| 0.1539 | 25.0 | 3200 | 0.6058 | 0.5311 |
| 0.1392 | 26.56 | 3400 | 0.6131 | 0.5221 |
| 0.1386 | 28.12 | 3600 | 0.6066 | 0.5258 |
| 0.1351 | 29.69 | 3800 | 0.6017 | 0.5200 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
