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wav2vec2-burak-new-300-v2-3
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2910
- Wer: 0.2712
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: 71
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.5554 | 4.9 | 500 | 3.1912 | 1.0 |
| 3.1116 | 9.8 | 1000 | 2.5931 | 1.0 |
| 1.291 | 14.71 | 1500 | 0.4394 | 0.5575 |
| 0.6214 | 19.61 | 2000 | 0.3243 | 0.4370 |
| 0.4501 | 24.51 | 2500 | 0.2890 | 0.3517 |
| 0.3659 | 29.41 | 3000 | 0.2809 | 0.3310 |
| 0.3065 | 34.31 | 3500 | 0.2882 | 0.3076 |
| 0.2739 | 39.22 | 4000 | 0.2632 | 0.2870 |
| 0.2516 | 44.12 | 4500 | 0.2872 | 0.2897 |
| 0.2316 | 49.02 | 5000 | 0.2875 | 0.2767 |
| 0.2159 | 53.92 | 5500 | 0.2953 | 0.2746 |
| 0.1957 | 58.82 | 6000 | 0.2955 | 0.2787 |
| 0.1997 | 63.73 | 6500 | 0.2963 | 0.2822 |
| 0.1852 | 68.63 | 7000 | 0.2910 | 0.2712 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
