metadata
tags:
- generated_from_trainer
model-index:
- name: ascend_with_timit
results: []
ascend_with_timit
This model is a fine-tuned version of GleamEyeBeast/ascend_with_timit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8013
- Wer: 0.4781
- Cer: 0.1727
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 | Cer |
|---|---|---|---|---|---|
| 2.4026 | 1.0 | 890 | 1.3419 | 0.9083 | 0.3670 |
| 1.1926 | 2.0 | 1780 | 0.9730 | 0.6491 | 0.2585 |
| 0.9104 | 3.0 | 2670 | 0.8483 | 0.5368 | 0.1963 |
| 0.7718 | 4.0 | 3560 | 0.8122 | 0.4913 | 0.1791 |
| 0.7013 | 5.0 | 4450 | 0.8013 | 0.4781 | 0.1727 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6