metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-voa-example
results: []
wav2vec2-voa-example
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: nan
- Wer: 1.0
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 |
|---|---|---|---|---|
| 4.296 | 4.35 | 500 | 3.7226 | 1.0 |
| 3.027 | 8.7 | 1000 | 3.7233 | 1.0 |
| 3.0376 | 13.04 | 1500 | 3.7246 | 1.0 |
| 3.0221 | 17.39 | 2000 | nan | 1.0 |
| 0.0 | 21.74 | 2500 | nan | 1.0 |
| 0.0 | 26.09 | 3000 | nan | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1