240803_01-wav2vec2-ASR-Global-All-Clients
This model is a fine-tuned version of zainulhakim/240626-wav2vec2-ASR_Global on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2829
- Wer: 0.1449
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: 5
- 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: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.5625 | 100 | 0.2964 | 0.1989 |
| No log | 3.125 | 200 | 0.3052 | 0.2216 |
| No log | 4.6875 | 300 | 0.3365 | 0.2614 |
| No log | 6.25 | 400 | 0.3643 | 0.2670 |
| 0.1191 | 7.8125 | 500 | 0.3596 | 0.2841 |
| 0.1191 | 9.375 | 600 | 0.4020 | 0.2358 |
| 0.1191 | 10.9375 | 700 | 0.3445 | 0.2727 |
| 0.1191 | 12.5 | 800 | 0.3989 | 0.3239 |
| 0.1191 | 14.0625 | 900 | 0.3855 | 0.2415 |
| 0.1639 | 15.625 | 1000 | 0.3188 | 0.2131 |
| 0.1639 | 17.1875 | 1100 | 0.2902 | 0.1648 |
| 0.1639 | 18.75 | 1200 | 0.2829 | 0.1449 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1