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This model was trained from scratch on the librispeech_asr dataset. It achieves the following results on the evaluation set:
- Loss: 11.7664
- Wer: 2.0133
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.171 | 0.28 | 500 | 8.6956 | 2.0055 |
| 5.307 | 0.56 | 1000 | 8.5958 | 2.0096 |
| 5.1449 | 0.84 | 1500 | 10.4208 | 2.0115 |
| 6.1351 | 1.12 | 2000 | 10.2950 | 2.0059 |
| 6.2997 | 1.4 | 2500 | 10.6762 | 2.0115 |
| 6.1394 | 1.68 | 3000 | 10.9190 | 2.0110 |
| 6.1868 | 1.96 | 3500 | 11.0166 | 2.0112 |
| 5.9647 | 2.24 | 4000 | 11.4154 | 2.0141 |
| 6.2202 | 2.52 | 4500 | 11.5837 | 2.0152 |
| 5.9612 | 2.8 | 5000 | 11.7664 | 2.0133 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0
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