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wav2vec2-burak-new-300-v2-2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.6158
- Wer: 0.3094
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: 500
- num_epochs: 241
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.5201 | 8.62 | 500 | 3.1581 | 1.0 |
| 2.1532 | 17.24 | 1000 | 0.6883 | 0.5979 |
| 0.5465 | 25.86 | 1500 | 0.5028 | 0.4432 |
| 0.3287 | 34.48 | 2000 | 0.4986 | 0.4024 |
| 0.2571 | 43.1 | 2500 | 0.4920 | 0.3824 |
| 0.217 | 51.72 | 3000 | 0.5265 | 0.3724 |
| 0.1848 | 60.34 | 3500 | 0.5539 | 0.3714 |
| 0.1605 | 68.97 | 4000 | 0.5689 | 0.3670 |
| 0.1413 | 77.59 | 4500 | 0.5962 | 0.3501 |
| 0.1316 | 86.21 | 5000 | 0.5732 | 0.3494 |
| 0.1168 | 94.83 | 5500 | 0.5912 | 0.3461 |
| 0.1193 | 103.45 | 6000 | 0.5766 | 0.3378 |
| 0.0996 | 112.07 | 6500 | 0.5818 | 0.3403 |
| 0.0941 | 120.69 | 7000 | 0.5986 | 0.3315 |
| 0.0912 | 129.31 | 7500 | 0.5802 | 0.3280 |
| 0.0865 | 137.93 | 8000 | 0.5878 | 0.3290 |
| 0.0804 | 146.55 | 8500 | 0.5784 | 0.3228 |
| 0.0739 | 155.17 | 9000 | 0.5791 | 0.3180 |
| 0.0718 | 163.79 | 9500 | 0.5864 | 0.3146 |
| 0.0681 | 172.41 | 10000 | 0.6104 | 0.3178 |
| 0.0688 | 181.03 | 10500 | 0.5983 | 0.3160 |
| 0.0657 | 189.66 | 11000 | 0.6228 | 0.3203 |
| 0.0598 | 198.28 | 11500 | 0.6057 | 0.3122 |
| 0.0597 | 206.9 | 12000 | 0.6094 | 0.3129 |
| 0.0551 | 215.52 | 12500 | 0.6114 | 0.3127 |
| 0.0507 | 224.14 | 13000 | 0.6056 | 0.3094 |
| 0.0554 | 232.76 | 13500 | 0.6158 | 0.3094 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
