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w2v2-libri-10min
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0535
- Wer: 0.5781
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.9227 | 62.5 | 250 | 2.9488 | 1.0 |
| 1.0088 | 125.0 | 500 | 1.5970 | 0.6570 |
| 0.0694 | 187.5 | 750 | 1.6500 | 0.6680 |
| 0.0585 | 250.0 | 1000 | 1.8617 | 0.6501 |
| 0.0226 | 312.5 | 1250 | 2.3323 | 0.6362 |
| 0.0175 | 375.0 | 1500 | 2.0121 | 0.6113 |
| 0.0093 | 437.5 | 1750 | 2.0362 | 0.5781 |
| 0.006 | 500.0 | 2000 | 2.1563 | 0.5989 |
| 0.0042 | 562.5 | 2250 | 2.1231 | 0.5837 |
| 0.0027 | 625.0 | 2500 | 2.0535 | 0.5781 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3
