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wav2vec2-base-timit-finetune-3
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: 0.4387
- Wer: 0.2750
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
3.4692 | 6.94 | 500 | 0.9978 | 0.7091 |
0.3946 | 13.88 | 1000 | 0.3674 | 0.3253 |
0.1291 | 20.83 | 1500 | 0.3987 | 0.3042 |
0.074 | 27.77 | 2000 | 0.4292 | 0.2916 |
0.0487 | 34.72 | 2500 | 0.4302 | 0.2853 |
0.0368 | 41.66 | 3000 | 0.4222 | 0.2789 |
0.0281 | 48.61 | 3500 | 0.4481 | 0.2783 |
0.0237 | 55.55 | 4000 | 0.4387 | 0.2750 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.0
- Tokenizers 0.11.0