wav2vec2-large-xlsr-53
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Evenki dataset. It achieves the following results on the evaluation set:
- Loss: 0.8728
- Wer: 65.9678
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.8625 | 0.6279 | 100 | 4.7672 | 100.0 |
| 3.5933 | 1.2559 | 200 | 3.5125 | 100.0 |
| 3.4942 | 1.8838 | 300 | 3.4852 | 100.0 |
| 3.5053 | 2.5118 | 400 | 3.4885 | 100.0 |
| 3.2185 | 3.1397 | 500 | 2.8873 | 100.0 |
| 2.2076 | 3.7677 | 600 | 1.6237 | 99.9844 |
| 1.6129 | 4.3956 | 700 | 1.2754 | 92.5833 |
| 1.5995 | 5.0235 | 800 | 1.1585 | 84.6033 |
| 1.333 | 5.6515 | 900 | 1.0689 | 80.4882 |
| 1.2571 | 6.2794 | 1000 | 1.0283 | 77.4840 |
| 1.1675 | 6.9074 | 1100 | 0.9761 | 75.3716 |
| 1.1193 | 7.5353 | 1200 | 0.9367 | 73.3532 |
| 1.0054 | 8.1633 | 1300 | 0.9723 | 72.4300 |
| 1.0211 | 8.7912 | 1400 | 0.8911 | 70.4115 |
| 0.9408 | 9.4192 | 1500 | 0.9405 | 70.6775 |
| 0.9115 | 10.0471 | 1600 | 0.8998 | 68.2835 |
| 0.8533 | 10.6750 | 1700 | 0.9073 | 68.3461 |
| 0.7981 | 11.3030 | 1800 | 0.8838 | 67.8141 |
| 0.8154 | 11.9309 | 1900 | 0.8872 | 66.7345 |
| 0.7603 | 12.5589 | 2000 | 0.8681 | 66.9379 |
| 0.7711 | 13.1868 | 2100 | 0.8723 | 66.5154 |
| 0.6974 | 13.8148 | 2200 | 0.8634 | 66.1242 |
| 0.7224 | 14.4427 | 2300 | 0.8728 | 65.9678 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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