wav2vec2-E50_speed_pause2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2983
- Cer: 85.6874
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 37.7103 | 0.1289 | 200 | 6.7374 | 100.0 |
| 15.4444 | 0.2579 | 400 | 4.8863 | 94.0188 |
| 10.7358 | 0.3868 | 600 | 4.6351 | 93.4371 |
| 10.2187 | 0.5158 | 800 | 4.6612 | 92.4736 |
| 9.4989 | 0.6447 | 1000 | 4.5912 | 92.1680 |
| 8.4222 | 0.7737 | 1200 | 4.9206 | 91.7274 |
| 6.6021 | 0.9026 | 1400 | 4.4301 | 91.6275 |
| 4.7756 | 1.0316 | 1600 | 4.4769 | 93.6428 |
| 4.5225 | 1.1605 | 1800 | 4.4304 | 93.2902 |
| 4.4805 | 1.2895 | 2000 | 4.4101 | 92.9318 |
| 4.4489 | 1.4184 | 2200 | 4.3892 | 92.9788 |
| 4.4476 | 1.5474 | 2400 | 4.4033 | 92.7438 |
| 4.4293 | 1.6763 | 2600 | 4.3643 | 92.8202 |
| 4.4077 | 1.8053 | 2800 | 4.3827 | 92.7438 |
| 4.3843 | 1.9342 | 3000 | 4.3231 | 92.9083 |
| 4.3661 | 2.0632 | 3200 | 4.3462 | 89.3361 |
| 4.3493 | 2.1921 | 3400 | 4.4030 | 88.2197 |
| 4.3051 | 2.3211 | 3600 | 4.3176 | 87.6146 |
| 4.2924 | 2.4500 | 3800 | 4.2757 | 85.8696 |
| 4.2824 | 2.5790 | 4000 | 4.3263 | 83.2726 |
| 4.2591 | 2.7079 | 4200 | 4.3128 | 84.9060 |
| 4.2231 | 2.8369 | 4400 | 4.3405 | 85.1821 |
| 4.1965 | 2.9658 | 4600 | 4.2983 | 85.6874 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3