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wav2vec2-base-finetuned-ie
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0843
- Accuracy: 0.6511
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1746 | 1.0 | 102 | 1.1532 | 0.4811 |
| 0.9955 | 2.0 | 204 | 1.0070 | 0.5761 |
| 0.8048 | 3.0 | 306 | 0.9764 | 0.6052 |
| 0.5933 | 4.0 | 408 | 1.1020 | 0.5975 |
| 0.4987 | 5.0 | 510 | 1.1877 | 0.5984 |
| 0.401 | 6.0 | 612 | 1.1034 | 0.6334 |
| 0.3613 | 7.0 | 714 | 1.0424 | 0.6780 |
| 0.2304 | 8.0 | 816 | 1.1990 | 0.6673 |
| 0.2553 | 9.0 | 918 | 1.2547 | 0.6605 |
| 0.1737 | 10.0 | 1020 | 1.5981 | 0.6149 |
| 0.1438 | 11.0 | 1122 | 1.4178 | 0.6770 |
| 0.0917 | 12.0 | 1224 | 1.6137 | 0.6576 |
| 0.0446 | 13.0 | 1326 | 1.7111 | 0.6557 |
| 0.0397 | 14.0 | 1428 | 1.7771 | 0.6392 |
| 0.0169 | 15.0 | 1530 | 1.7484 | 0.6508 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
