wav2vec2-conformer-rel-pos-large-960h-ft-intent-classification-ori
This model is a fine-tuned version of facebook/wav2vec2-conformer-rel-pos-large-960h-ft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2518
- Accuracy: 0.5833
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 45
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2018 | 1.0 | 28 | 2.1963 | 0.125 |
| 2.1871 | 2.0 | 56 | 2.1715 | 0.3333 |
| 2.1499 | 3.0 | 84 | 2.1349 | 0.3333 |
| 2.1236 | 4.0 | 112 | 2.0749 | 0.3333 |
| 2.0814 | 5.0 | 140 | 2.0232 | 0.3333 |
| 2.0905 | 6.0 | 168 | 1.9028 | 0.375 |
| 1.9167 | 7.0 | 196 | 1.8469 | 0.3958 |
| 1.7048 | 8.0 | 224 | 1.6481 | 0.4583 |
| 1.4723 | 9.0 | 252 | 1.5350 | 0.4583 |
| 1.5265 | 10.0 | 280 | 1.4526 | 0.5 |
| 1.2621 | 11.0 | 308 | 1.4451 | 0.4583 |
| 1.5083 | 12.0 | 336 | 1.3296 | 0.4792 |
| 1.1857 | 13.0 | 364 | 1.2983 | 0.4792 |
| 1.3449 | 14.0 | 392 | 1.3026 | 0.4792 |
| 1.2061 | 15.0 | 420 | 1.3181 | 0.4792 |
| 1.2544 | 16.0 | 448 | 1.2603 | 0.4792 |
| 1.0731 | 17.0 | 476 | 1.2607 | 0.4792 |
| 0.8836 | 18.0 | 504 | 1.2644 | 0.4792 |
| 1.0917 | 19.0 | 532 | 1.2345 | 0.4792 |
| 1.0786 | 20.0 | 560 | 1.2791 | 0.4792 |
| 1.1616 | 21.0 | 588 | 1.2238 | 0.4792 |
| 1.0614 | 22.0 | 616 | 1.2305 | 0.4583 |
| 0.9617 | 23.0 | 644 | 1.2315 | 0.4792 |
| 0.9652 | 24.0 | 672 | 1.2931 | 0.4792 |
| 0.9042 | 25.0 | 700 | 1.1246 | 0.5 |
| 1.0865 | 26.0 | 728 | 1.1490 | 0.4792 |
| 0.9653 | 27.0 | 756 | 1.1713 | 0.5 |
| 0.858 | 28.0 | 784 | 1.1726 | 0.5208 |
| 0.8364 | 29.0 | 812 | 1.2142 | 0.5 |
| 0.6798 | 30.0 | 840 | 1.2163 | 0.5208 |
| 0.9284 | 31.0 | 868 | 1.1398 | 0.4792 |
| 0.7383 | 32.0 | 896 | 1.2418 | 0.5208 |
| 0.651 | 33.0 | 924 | 1.1734 | 0.5 |
| 0.7416 | 34.0 | 952 | 1.2285 | 0.5 |
| 0.6287 | 35.0 | 980 | 1.1467 | 0.5833 |
| 0.6806 | 36.0 | 1008 | 1.1589 | 0.5625 |
| 0.6148 | 37.0 | 1036 | 1.1373 | 0.5833 |
| 0.7174 | 38.0 | 1064 | 1.2118 | 0.5625 |
| 0.6056 | 39.0 | 1092 | 1.2205 | 0.5833 |
| 0.7041 | 40.0 | 1120 | 1.2408 | 0.5833 |
| 0.631 | 41.0 | 1148 | 1.2350 | 0.5833 |
| 0.6028 | 42.0 | 1176 | 1.2787 | 0.5833 |
| 0.5942 | 43.0 | 1204 | 1.2463 | 0.5833 |
| 0.5441 | 44.0 | 1232 | 1.2496 | 0.5833 |
| 0.5042 | 45.0 | 1260 | 1.2518 | 0.5833 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1