metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-cynthia-timit
results: []
wav2vec2-base-cynthia-timit
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: 0.4607
- Wer: 0.1903
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: 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0689 | 3.45 | 500 | 0.3667 | 0.1970 |
| 0.0758 | 6.9 | 1000 | 0.4734 | 0.2154 |
| 0.0581 | 10.34 | 1500 | 0.4375 | 0.2179 |
| 0.0468 | 13.79 | 2000 | 0.4866 | 0.2112 |
| 0.0408 | 17.24 | 2500 | 0.5170 | 0.2043 |
| 0.0365 | 20.69 | 3000 | 0.5125 | 0.1987 |
| 0.0323 | 24.14 | 3500 | 0.4754 | 0.2008 |
| 0.0297 | 27.59 | 4000 | 0.4607 | 0.1903 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu102
- Datasets 1.14.0
- Tokenizers 0.10.3