wav2vec2-1b-Y2
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: 0.9063
- Cer: 22.3214
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 14.1704 | 0.2580 | 200 | 4.3519 | 97.8090 |
| 2.4465 | 0.5160 | 400 | 2.2289 | 45.2126 |
| 1.3213 | 0.7741 | 600 | 1.7263 | 39.3386 |
| 1.0017 | 1.0321 | 800 | 1.2111 | 29.5348 |
| 0.8038 | 1.2901 | 1000 | 1.4298 | 34.3339 |
| 0.7428 | 1.5481 | 1200 | 1.3785 | 32.6656 |
| 0.705 | 1.8062 | 1400 | 1.2020 | 30.1104 |
| 0.5742 | 2.0642 | 1600 | 1.1142 | 27.8959 |
| 0.4805 | 2.3222 | 1800 | 1.3923 | 33.2237 |
| 0.471 | 2.5802 | 2000 | 1.1341 | 27.9840 |
| 0.4327 | 2.8383 | 2200 | 0.9932 | 25.4582 |
| 0.3677 | 3.0963 | 2400 | 0.8940 | 22.6739 |
| 0.2976 | 3.3543 | 2600 | 0.9628 | 24.6182 |
| 0.2802 | 3.6123 | 2800 | 0.8832 | 22.1570 |
| 0.2637 | 3.8703 | 3000 | 0.9087 | 22.8207 |
| 0.2175 | 4.1284 | 3200 | 0.9277 | 22.7326 |
| 0.1932 | 4.3864 | 3400 | 0.9152 | 22.6328 |
| 0.1724 | 4.6444 | 3600 | 0.9290 | 22.6621 |
| 0.1693 | 4.9024 | 3800 | 0.9063 | 22.3214 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1