<!-- 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. -->
ws_w2lm_base_plus_finetune_teacher_noise_mozilla_100_epochs_batch_8
This model is a fine-tuned version of patrickvonplaten/wavlm-libri-clean-100h-base-plus on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5544
- Wer: 0.2961
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 512
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7052 | 8.78 | 150 | 0.6741 | 0.4123 |
| 0.4555 | 17.55 | 300 | 0.5606 | 0.3625 |
| 0.3565 | 26.33 | 450 | 0.5186 | 0.3269 |
| 0.2952 | 35.11 | 600 | 0.5137 | 0.3159 |
| 0.2571 | 43.89 | 750 | 0.5133 | 0.3062 |
| 0.2306 | 52.66 | 900 | 0.5221 | 0.3036 |
| 0.2113 | 61.44 | 1050 | 0.5285 | 0.2996 |
| 0.1971 | 70.22 | 1200 | 0.5380 | 0.2977 |
| 0.1871 | 78.99 | 1350 | 0.5455 | 0.2962 |
| 0.1799 | 87.77 | 1500 | 0.5505 | 0.2967 |
| 0.176 | 96.55 | 1650 | 0.5544 | 0.2961 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.11.0
