wav2vec2-base-timit-demo-colab
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: 2.9314
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.686 | 0.16 | 20 | 13.6565 | 1.0 |
| 8.0711 | 0.32 | 40 | 12.5379 | 1.0 |
| 6.9967 | 0.48 | 60 | 9.7215 | 1.0 |
| 5.2368 | 0.64 | 80 | 5.8459 | 1.0 |
| 3.4499 | 0.8 | 100 | 3.3413 | 1.0 |
| 3.1261 | 0.96 | 120 | 3.2858 | 1.0 |
| 3.0654 | 1.12 | 140 | 3.1945 | 1.0 |
| 3.0421 | 1.28 | 160 | 3.1296 | 1.0 |
| 3.0035 | 1.44 | 180 | 3.1172 | 1.0 |
| 3.0067 | 1.6 | 200 | 3.1217 | 1.0 |
| 2.9867 | 1.76 | 220 | 3.0715 | 1.0 |
| 2.9653 | 1.92 | 240 | 3.0747 | 1.0 |
| 2.9629 | 2.08 | 260 | 2.9984 | 1.0 |
| 2.9462 | 2.24 | 280 | 2.9991 | 1.0 |
| 2.9391 | 2.4 | 300 | 3.0391 | 1.0 |
| 2.934 | 2.56 | 320 | 2.9682 | 1.0 |
| 2.9193 | 2.72 | 340 | 2.9701 | 1.0 |
| 2.8985 | 2.88 | 360 | 2.9314 | 1.0 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3