<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
wav2vec2-tcrs-runtest
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1370
- Wer: 1.0
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: 2
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 22.437 | 1.43 | 10 | 36.3252 | 1.0 |
| 14.7939 | 2.86 | 20 | 10.7441 | 1.0 |
| 4.1824 | 4.29 | 30 | 3.7354 | 1.0 |
| 3.289 | 5.71 | 40 | 3.5265 | 1.0 |
| 3.1639 | 7.14 | 50 | 3.2868 | 1.0 |
| 3.1107 | 8.57 | 60 | 3.3268 | 1.0 |
| 3.0737 | 10.0 | 70 | 3.1149 | 1.0 |
| 3.0273 | 11.43 | 80 | 3.2031 | 1.0 |
| 3.0422 | 12.86 | 90 | 3.0771 | 1.0 |
| 2.9957 | 14.29 | 100 | 3.0418 | 1.0 |
| 2.9894 | 15.71 | 110 | 3.0321 | 1.0 |
| 2.9997 | 17.14 | 120 | 3.0545 | 1.0 |
| 2.9806 | 18.57 | 130 | 2.9936 | 1.0 |
| 2.969 | 20.0 | 140 | 3.0322 | 1.0 |
| 2.9692 | 21.43 | 150 | 3.0238 | 1.0 |
| 2.9638 | 22.86 | 160 | 3.0407 | 1.0 |
| 2.969 | 24.29 | 170 | 3.2487 | 1.0 |
| 2.9783 | 25.71 | 180 | 3.1248 | 1.0 |
| 2.9576 | 27.14 | 190 | 3.0880 | 1.0 |
| 2.968 | 28.57 | 200 | 3.0962 | 1.0 |
| 2.9784 | 30.0 | 210 | 3.1370 | 1.0 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.11.0+cu102
- Datasets 1.18.3
- Tokenizers 0.10.3
