d-l-dl
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4495
- 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 800
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
42.4143 | 49.8 | 100 | 21.5116 | 1.0 |
5.9884 | 99.8 | 200 | 31.7976 | 1.0 |
4.0043 | 149.8 | 300 | 3.4829 | 1.0 |
3.653 | 199.8 | 400 | 3.6417 | 1.0 |
3.5207 | 249.8 | 500 | 3.5081 | 1.0 |
3.63 | 299.8 | 600 | 3.4836 | 1.0 |
3.648 | 349.8 | 700 | 3.4515 | 1.0 |
3.6448 | 399.8 | 800 | 3.4647 | 1.0 |
3.6872 | 449.8 | 900 | 3.4371 | 1.0 |
3.6892 | 499.8 | 1000 | 3.4337 | 1.0 |
3.684 | 549.8 | 1100 | 3.4375 | 1.0 |
3.6843 | 599.8 | 1200 | 3.4452 | 1.0 |
3.6842 | 649.8 | 1300 | 3.4416 | 1.0 |
3.6819 | 699.8 | 1400 | 3.4498 | 1.0 |
3.6832 | 749.8 | 1500 | 3.4524 | 1.0 |
3.6828 | 799.8 | 1600 | 3.4495 | 1.0 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3