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new_asr_model
This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0553
- Wer: 0.1515
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: 36
- 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: 1000
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.1498 | 3.88 | 500 | 1.9949 | 0.9938 |
| 0.4835 | 7.75 | 1000 | 0.0690 | 0.1562 |
| 0.1202 | 11.63 | 1500 | 0.0555 | 0.1513 |
| 0.0842 | 15.5 | 2000 | 0.0564 | 0.1516 |
| 0.0637 | 19.38 | 2500 | 0.0559 | 0.1521 |
| 0.0647 | 23.26 | 3000 | 0.0553 | 0.1515 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.13.1+cu117
- Datasets 1.14.0
- Tokenizers 0.10.3
