wavlm_torgo_0H_1
This model is a fine-tuned version of microsoft/wavlm-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4358
- 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: 1
- 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: 1000
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.6461 | 0.8365 | 2000 | 4.2106 | 1.0 |
| 3.5846 | 1.6729 | 4000 | 4.5378 | 1.0 |
| 3.563 | 2.5094 | 6000 | 4.9692 | 1.0 |
| 3.5338 | 3.3459 | 8000 | 4.5362 | 1.0 |
| 3.7176 | 4.1824 | 10000 | 4.3354 | 1.0 |
| 3.7041 | 5.0188 | 12000 | 4.4317 | 1.0 |
| 3.5544 | 5.8553 | 14000 | 4.3316 | 1.0 |
| 3.5242 | 6.6918 | 16000 | 4.4173 | 1.0 |
| 3.5293 | 7.5282 | 18000 | 4.4358 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
microsoft/wavlm-base