ascend_with_english
This model is a fine-tuned version of GleamEyeBeast/ascend on the timit_asr dataset. It achieves the following results on the evaluation set:
- Loss: 0.3049
- Wer: 0.2251
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 289 | 0.3524 | 0.3016 |
| 0.4246 | 2.0 | 578 | 0.3132 | 0.2607 |
| 0.4246 | 3.0 | 867 | 0.3044 | 0.2373 |
| 0.2008 | 4.0 | 1156 | 0.3075 | 0.2302 |
| 0.2008 | 5.0 | 1445 | 0.3049 | 0.2251 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
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