wav2vec2-large-960h-lv60-self-paper
This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the HTS98/ORIGINAL_VER1.2 - NA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6788
- Wer: 0.3320
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: 5e-05
- 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: 420
- num_epochs: 50.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 419 | 3.3473 | 1.0 |
| 5.8068 | 2.0 | 838 | 1.9191 | 0.8917 |
| 2.5663 | 3.0 | 1257 | 1.1006 | 0.5802 |
| 1.1433 | 4.0 | 1676 | 0.9009 | 0.4814 |
| 0.8522 | 5.0 | 2095 | 0.8215 | 0.4247 |
| 0.7256 | 6.0 | 2514 | 0.7522 | 0.3922 |
| 0.7256 | 7.0 | 2933 | 0.7202 | 0.3654 |
| 0.6239 | 8.0 | 3352 | 0.6909 | 0.3579 |
| 0.5618 | 9.0 | 3771 | 0.6887 | 0.3400 |
| 0.4998 | 10.0 | 4190 | 0.6788 | 0.3320 |
| 0.4569 | 11.0 | 4609 | 0.6805 | 0.3351 |
| 0.4156 | 12.0 | 5028 | 0.6910 | 0.3253 |
| 0.4156 | 13.0 | 5447 | 0.6859 | 0.3279 |
| 0.3763 | 14.0 | 5866 | 0.7075 | 0.3207 |
| 0.3473 | 15.0 | 6285 | 0.7174 | 0.3152 |
| 0.3141 | 16.0 | 6704 | 0.7284 | 0.3171 |
| 0.2884 | 17.0 | 7123 | 0.7537 | 0.3192 |
| 0.2771 | 18.0 | 7542 | 0.7312 | 0.3175 |
| 0.2771 | 19.0 | 7961 | 0.7669 | 0.3138 |
| 0.2538 | 20.0 | 8380 | 0.8143 | 0.3074 |
| 0.2319 | 21.0 | 8799 | 0.8185 | 0.3088 |
| 0.2206 | 22.0 | 9218 | 0.8111 | 0.3069 |
| 0.2093 | 23.0 | 9637 | 0.8248 | 0.3088 |
| 0.1979 | 24.0 | 10056 | 0.8572 | 0.3067 |
| 0.1979 | 25.0 | 10475 | 0.8710 | 0.3074 |
| 0.1852 | 26.0 | 10894 | 0.8922 | 0.3067 |
| 0.1742 | 27.0 | 11313 | 0.9040 | 0.3068 |
| 0.1688 | 28.0 | 11732 | 0.9144 | 0.3016 |
| 0.1578 | 29.0 | 12151 | 0.8990 | 0.3109 |
| 0.1557 | 30.0 | 12570 | 0.9465 | 0.3004 |
| 0.1557 | 31.0 | 12989 | 0.9480 | 0.3025 |
| 0.1456 | 32.0 | 13408 | 0.9731 | 0.3017 |
| 0.1398 | 33.0 | 13827 | 0.9633 | 0.3038 |
| 0.1343 | 34.0 | 14246 | 0.9844 | 0.3011 |
| 0.1275 | 35.0 | 14665 | 1.0078 | 0.2997 |
| 0.1266 | 36.0 | 15084 | 1.0066 | 0.2996 |
| 0.1243 | 37.0 | 15503 | 1.0133 | 0.3014 |
| 0.1243 | 38.0 | 15922 | 1.0387 | 0.2972 |
| 0.1182 | 39.0 | 16341 | 1.0173 | 0.3026 |
| 0.1152 | 40.0 | 16760 | 1.0527 | 0.2977 |
| 0.1134 | 41.0 | 17179 | 1.0491 | 0.2978 |
| 0.1101 | 42.0 | 17598 | 1.0662 | 0.2976 |
| 0.1083 | 43.0 | 18017 | 1.0544 | 0.2979 |
| 0.1083 | 44.0 | 18436 | 1.0599 | 0.2957 |
| 0.1073 | 45.0 | 18855 | 1.0767 | 0.2959 |
| 0.1045 | 46.0 | 19274 | 1.0773 | 0.2959 |
| 0.1024 | 47.0 | 19693 | 1.0731 | 0.2953 |
| 0.1015 | 48.0 | 20112 | 1.0823 | 0.2966 |
| 0.1016 | 49.0 | 20531 | 1.0885 | 0.2945 |
| 0.1016 | 50.0 | 20950 | 1.0854 | 0.2950 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2