<!-- 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. -->
hubert-base-libri-demo-feature_extractor_not_frozen
This model is a fine-tuned version of facebook/hubert-base-ls960 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8505
- 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: 0.00015
- train_batch_size: 64
- 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: 3000
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.3787 | 1.12 | 500 | 3.5514 | 1.0 |
| 2.8772 | 2.24 | 1000 | 3.6079 | 1.0 |
| 2.8665 | 3.36 | 1500 | 4.0086 | 1.0 |
| 2.864 | 4.48 | 2000 | 4.0925 | 1.0 |
| 2.8606 | 5.61 | 2500 | 3.8393 | 1.0 |
| 2.8589 | 6.73 | 3000 | 3.7722 | 1.0 |
| 2.8603 | 7.85 | 3500 | 3.8588 | 1.0 |
| 2.8685 | 8.97 | 4000 | 3.8065 | 1.0 |
| 2.8602 | 10.09 | 4500 | 3.8807 | 1.0 |
| 2.858 | 11.21 | 5000 | 3.8724 | 1.0 |
| 2.8582 | 12.33 | 5500 | 3.8091 | 1.0 |
| 2.8579 | 13.45 | 6000 | 3.6785 | 1.0 |
| 2.8569 | 14.57 | 6500 | 3.7339 | 1.0 |
| 2.8574 | 15.7 | 7000 | 3.7972 | 1.0 |
| 2.8564 | 16.82 | 7500 | 3.8758 | 1.0 |
| 2.8569 | 17.94 | 8000 | 3.9114 | 1.0 |
| 2.8569 | 19.06 | 8500 | 3.9208 | 1.0 |
| 2.8565 | 20.18 | 9000 | 3.9229 | 1.0 |
| 2.8571 | 21.3 | 9500 | 3.8876 | 1.0 |
| 2.8569 | 22.42 | 10000 | 3.8732 | 1.0 |
| 2.8557 | 23.54 | 10500 | 3.8587 | 1.0 |
| 2.8569 | 24.66 | 11000 | 3.8505 | 1.0 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3
