wav2vec2-1b-Elderly3
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9748
- Cer: 23.8369
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 10.1541 | 0.2580 | 200 | 4.8629 | 92.0935 |
| 4.4064 | 0.5160 | 400 | 4.6177 | 92.0524 |
| 4.2096 | 0.7739 | 600 | 4.1126 | 80.3278 |
| 3.6968 | 1.0319 | 800 | 3.1236 | 65.1081 |
| 2.6923 | 1.2899 | 1000 | 2.3085 | 48.5374 |
| 2.0244 | 1.5479 | 1200 | 1.8248 | 40.0435 |
| 1.6074 | 1.8059 | 1400 | 1.4809 | 33.3999 |
| 1.3326 | 2.0639 | 1600 | 1.2833 | 31.2383 |
| 1.0925 | 2.3218 | 1800 | 1.1624 | 28.2072 |
| 1.0068 | 2.5798 | 2000 | 1.1147 | 26.7681 |
| 0.8894 | 2.8378 | 2200 | 0.9748 | 23.8369 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1