metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fluent-noisy-wav2vec
results: []
fluent-noisy-wav2vec
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0129
- Wer: 0.2656
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.5477 | 1.26 | 500 | 2.9258 | 1.0 |
| 1.6916 | 2.53 | 1000 | 0.4439 | 0.5218 |
| 0.4069 | 3.79 | 1500 | 0.0990 | 0.3524 |
| 0.2584 | 5.05 | 2000 | 0.0812 | 0.3256 |
| 0.1954 | 6.31 | 2500 | 0.0340 | 0.2825 |
| 0.1391 | 7.58 | 3000 | 0.0691 | 0.3046 |
| 0.1378 | 8.84 | 3500 | 0.0334 | 0.2848 |
| 0.1088 | 10.1 | 4000 | 0.0349 | 0.2871 |
| 0.0972 | 11.36 | 4500 | 0.0959 | 0.2761 |
| 0.0883 | 12.63 | 5000 | 0.0229 | 0.2726 |
| 0.0734 | 13.89 | 5500 | 0.0303 | 0.2772 |
| 0.0644 | 15.15 | 6000 | 0.0251 | 0.2755 |
| 0.0536 | 16.41 | 6500 | 0.0139 | 0.2714 |
| 0.0428 | 17.68 | 7000 | 0.0214 | 0.2685 |
| 0.0362 | 18.94 | 7500 | 0.0196 | 0.2667 |
| 0.0377 | 20.2 | 8000 | 0.0257 | 0.2691 |
| 0.0289 | 21.46 | 8500 | 0.0191 | 0.2673 |
| 0.0297 | 22.73 | 9000 | 0.0207 | 0.2667 |
| 0.029 | 23.99 | 9500 | 0.0129 | 0.2656 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2