XLRS_MediumDataset
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3156
- Wer: 0.2796
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: 8
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.6662 | 1.54 | 500 | 3.1089 | 1.0 |
| 2.6856 | 3.08 | 1000 | 1.1527 | 1.0257 |
| 0.8295 | 4.62 | 1500 | 0.3830 | 0.4426 |
| 0.4529 | 6.15 | 2000 | 0.3183 | 0.3827 |
| 0.3135 | 7.69 | 2500 | 0.2764 | 0.3517 |
| 0.2652 | 9.23 | 3000 | 0.2630 | 0.3145 |
| 0.2065 | 10.77 | 3500 | 0.2679 | 0.3141 |
| 0.1802 | 12.31 | 4000 | 0.3010 | 0.3057 |
| 0.1557 | 13.85 | 4500 | 0.2971 | 0.3017 |
| 0.1438 | 15.38 | 5000 | 0.2953 | 0.3020 |
| 0.1206 | 16.92 | 5500 | 0.3185 | 0.2959 |
| 0.1104 | 18.46 | 6000 | 0.3114 | 0.2871 |
| 0.1005 | 20.0 | 6500 | 0.3230 | 0.2873 |
| 0.092 | 21.54 | 7000 | 0.3130 | 0.2844 |
| 0.0946 | 23.08 | 7500 | 0.3130 | 0.2837 |
| 0.09 | 24.62 | 8000 | 0.3189 | 0.2787 |
| 0.0822 | 26.15 | 8500 | 0.3200 | 0.2783 |
| 0.0805 | 27.69 | 9000 | 0.3247 | 0.2777 |
| 0.0827 | 29.23 | 9500 | 0.3156 | 0.2796 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.5.1+cu121
- Datasets 1.18.3
- Tokenizers 0.20.3